From 0c5a05ac5948cdd3716af5d7e5f476cf0bd58096 Mon Sep 17 00:00:00 2001 From: PrashantDixit-dev Date: Mon, 23 Dec 2024 12:08:59 +0530 Subject: [PATCH] demo gif --- README.md | 2 +- examples/RAG-On-PDF/main.ipynb | 1534 +++++++++-------- examples/congee-RAG/README.md | 86 + examples/congee-RAG/cognee_demo.ipynb | 1045 +++++++++++ .../convert-any-image-dataset-to-lance.py | 75 +- .../main.ipynb | 472 ++--- 6 files changed, 2196 insertions(+), 1018 deletions(-) create mode 100644 examples/congee-RAG/README.md create mode 100644 examples/congee-RAG/cognee_demo.ipynb diff --git a/README.md b/README.md index f8b1e2b..029197c 100644 --- a/README.md +++ b/README.md @@ -191,7 +191,7 @@ These are ready to use applications built using LanceDB serverless vector databa |-----------------------------------------------------|----------------------------------------------------------------------------------------------------------------------|-------------------------------------------| | [Writing assistant](https://github.com/lancedb/vectordb-recipes/tree/main/applications/node/lanchain_writing_assistant) | Writing assistant app using lanchain.js with LanceDB, allows you to get real time relevant suggestions and facts based on you written text to help you with your writing. | ![Writing assistant](https://github.com/user-attachments/assets/87354e93-df4d-40ad-922b-abcbb62d667c) | | [Sentence auto complete](https://github.com/lancedb/vectordb-recipes/tree/main/applications/node/sentance_auto_complete) | Sentance auto complete app using lanchain.js with LanceDB, allows you to get real time relevant auto complete suggestions and facts based on you written text to help you with your writing.You can also upload your data source in the form of a pdf file.You can switch between gpt models to get faster results. | ![Sentance auto complete](https://github.com/lancedb/assets/blob/main/recipes/sentance_Auto_complete.gif) | -| [Article Recommendation](https://github.com/lancedb/vectordb-recipes/tree/main/applications/node/article_recommender) | Article Recommender: Explore vast data set of articles with Instant, Context-Aware Suggestions. Leveraging Advanced NLP, Vector Search, and Customizable Datasets, Our App Delivers Real-Time, Precise Article Recommendations. Perfect for Research, Content Curation, and Staying Informed. Unlock Smarter Insights with State-of-the-Art Technology in Content Retrieval and Discovery!". | ![Article Recommendation](https://github.com/lancedb/assets/blob/main/recipes/article_recommendation_engine.gif) | +| [Article Recommendation](https://github.com/lancedb/vectordb-recipes/tree/main/applications/node/article_recommender) | Article Recommender: Explore vast data set of articles with Instant, Context-Aware Suggestions. Leveraging Advanced NLP, Vector Search, and Customizable Datasets, Our App Delivers Real-Time, Precise Article Recommendations. Perfect for Research, Content Curation, and Staying Informed. Unlock Smarter Insights with State-of-the-Art Technology in Content Retrieval and Discovery!". | ![Article Recommendation](./applications/node/article_recommender/public/assets/article_recommendation_engine.gif) | |||| | Project Name | Description | Screenshot | diff --git a/examples/RAG-On-PDF/main.ipynb b/examples/RAG-On-PDF/main.ipynb index e4b1898..ac57193 100644 --- a/examples/RAG-On-PDF/main.ipynb +++ b/examples/RAG-On-PDF/main.ipynb @@ -1,780 +1,794 @@ { - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [], - "gpuType": "T4" - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - }, - "accelerator": "GPU" + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4" }, - "cells": [ - { - "cell_type": "markdown", - "source": [ - "# FarmerGPT - Build Chat with PDF using lancedb" - ], - "metadata": { - "id": "10yLPb9Fneh0" - } - }, - { - "cell_type": "markdown", - "source": [ - "We utilized this PDF: Dataset/FARM5CROPS_farmergpt.pdf,\n", - " which contains crop variety information for sugarcane, turmeric, bamboo, cashew nuts, and more.\n", - " This is a sample project designed to demonstrate how to build an application using LanceDB and LangChain\n", - "The use case and prompts can be customized as needed to suit specific requirements" - ], - "metadata": { - "id": "xFHTAtayosS-" - } - }, - { - "cell_type": "markdown", - "source": [ - "Import pacages" - ], - "metadata": { - "id": "eXsCZEUvb39u" - } - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "EaKlPN9u6bnc", - "outputId": "89f72bd3-ddf9-4ccc-a249-50d50e4012be" - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: langchain in /usr/local/lib/python3.10/dist-packages (0.3.12)\n", - "Collecting lancedb\n", - " 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fastapi-0.115.6 ffmpy-0.5.0 gradio-5.9.1 gradio-client-1.5.2 markupsafe-2.1.5 pydub-0.25.1 python-multipart-0.0.20 ruff-0.8.4 safehttpx-0.1.6 semantic-version-2.10.0 starlette-0.41.3 tomlkit-0.13.2 uvicorn-0.34.0\n" - ] - } - ], - "source": [ - "! pip install langchain lancedb\n", - "! pip install tantivy\n", - "! pip install -U langchain-openai langchain-community pypdf\n", - "! pip install gradio" - ] + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# FarmerGPT - Build Chat with PDF using lancedb" + ], + "metadata": { + "id": "10yLPb9Fneh0" + } + }, + { + "cell_type": "markdown", + "source": [ + "We utilized this PDF: Dataset/FARM5CROPS_farmergpt.pdf,\n", + " which contains crop variety information for sugarcane, turmeric, bamboo, cashew nuts, and more.\n", + " This is a sample project designed to demonstrate how to build an application using LanceDB and LangChain\n", + "The use case and prompts can be customized as needed to suit specific requirements" + ], + "metadata": { + "id": "xFHTAtayosS-" + } + }, + { + "cell_type": "markdown", + "source": [ + "Import pacages" + ], + "metadata": { + "id": "eXsCZEUvb39u" + } + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "EaKlPN9u6bnc", + "outputId": "89f72bd3-ddf9-4ccc-a249-50d50e4012be" + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "# pass opeani key or use any LLM\n", - "import os\n", - "os.environ[\"OPENAI_API_KEY\"] = \"sk-proj-\"" - ], - "metadata": { - "id": "ylj23ZpC-SG1" - }, - "execution_count": 7, - "outputs": [] + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: langchain in /usr/local/lib/python3.10/dist-packages (0.3.12)\n", + "Collecting lancedb\n", + " Downloading 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fastapi-0.115.6 ffmpy-0.5.0 gradio-5.9.1 gradio-client-1.5.2 markupsafe-2.1.5 pydub-0.25.1 python-multipart-0.0.20 ruff-0.8.4 safehttpx-0.1.6 semantic-version-2.10.0 starlette-0.41.3 tomlkit-0.13.2 uvicorn-0.34.0\n" + ] + } + ], + "source": [ + "! pip install langchain lancedb\n", + "! pip install tantivy\n", + "! pip install -U langchain-openai langchain-community pypdf\n", + "! pip install gradio" + ] + }, + { + "cell_type": "code", + "source": [ + "# pass opeani key or use any LLM\n", + "import os\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"sk-proj-\"" + ], + "metadata": { + "id": "ylj23ZpC-SG1" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Download the sample pdf\n", + "!wget https://github.com/vectordb-recipes/examples/raw/main/RAG-On-PDF/Dataset/FARM5CROPS_farmergpt.pdf -O FARM5CROPS_farmergpt.pdf" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, - + "id": "xtRI4pTPvahR", + "outputId": "02f3b2dc-4595-403e-e3d2-068fa4b73c4a" + }, + "execution_count": 4, + "outputs": [ { - "cell_type": "code", - "source": [ - "# Download the sample pdf\n", - "!wget https://github.com/vectordb-recipes/examples/raw/main/RAG-On-PDF/Dataset/FARM5CROPS_farmergpt.pdf -O FARM5CROPS_farmergpt.pdf" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "xtRI4pTPvahR", - "outputId": "02f3b2dc-4595-403e-e3d2-068fa4b73c4a" - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "--2024-12-20 11:04:42-- https://github.com/vectordb-recipes/examples/raw/main/RAG-On-PDF/Dataset/FARM5CROPS_farmergpt.pdf\n", - "Resolving github.com (github.com)... 140.82.112.3\n", - "Connecting to github.com (github.com)|140.82.112.3|:443... connected.\n", - "HTTP request sent, awaiting response... 302 Found\n", - "Location: https://raw.githubusercontent.com/vectordb-recipes/examples/main/RAG-On-PDF/Dataset/FARM5CROPS_farmergp.pdf [following]\n", - "--2024-12-20 11:04:43-- https://raw.githubusercontent.com/vectordb-recipes/examples/main/RAG-On-PDF/Dataset/FARM5CROPS_farmergpt.pdf\n", - "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n", - "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n", - "HTTP request sent, awaiting response... 200 OK\n", - "Length: 1398674 (1.3M) [application/octet-stream]\n", - "Saving to: ‘FARM5CROPS_farmergpt.pdf’\n", - "\n", - "FARM5CROPS_farmergp 100%[===================>] 1.33M --.-KB/s in 0.04s \n", - "\n", - "2024-12-20 11:04:43 (34.5 MB/s) - ‘FARM5CROPS_farmergpt.pdf’ saved [1398674/1398674]\n", - "\n" - ] - } - ] + "output_type": "stream", + "name": "stdout", + "text": [ + "--2024-12-20 11:04:42-- https://github.com/vectordb-recipes/examples/raw/main/RAG-On-PDF/Dataset/FARM5CROPS_farmergpt.pdf\n", + "Resolving github.com (github.com)... 140.82.112.3\n", + "Connecting to github.com (github.com)|140.82.112.3|:443... connected.\n", + "HTTP request sent, awaiting response... 302 Found\n", + "Location: https://raw.githubusercontent.com/vectordb-recipes/examples/main/RAG-On-PDF/Dataset/FARM5CROPS_farmergp.pdf [following]\n", + "--2024-12-20 11:04:43-- https://raw.githubusercontent.com/vectordb-recipes/examples/main/RAG-On-PDF/Dataset/FARM5CROPS_farmergpt.pdf\n", + "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n", + "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 1398674 (1.3M) [application/octet-stream]\n", + "Saving to: ‘FARM5CROPS_farmergpt.pdf’\n", + "\n", + "FARM5CROPS_farmergp 100%[===================>] 1.33M --.-KB/s in 0.04s \n", + "\n", + "2024-12-20 11:04:43 (34.5 MB/s) - ‘FARM5CROPS_farmergpt.pdf’ saved [1398674/1398674]\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from lancedb.rerankers import LinearCombinationReranker\n", + "from langchain_community.document_loaders import PyPDFLoader\n", + "from langchain_community.vectorstores import LanceDB\n", + "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", + "from langchain_text_splitters import CharacterTextSplitter\n", + "from langchain_core.prompts import PromptTemplate\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain.memory import ConversationBufferMemory\n", + "\n", + "\n", + "class QueryProcessor:\n", + " def __init__(self, file_path, db_url=\"lancedb_temp\", table_name=\"lancedb_indic\"):\n", + " \"\"\"\n", + " Initialize the QueryProcessor with the PDF file and set up the vector store.\n", + "\n", + " Parameters:\n", + " file_path (str): Path to the PDF file.\n", + " db_url (str): URI for the LanceDB vector store.\n", + " table_name (str): Name of the table in LanceDB.\n", + " \"\"\"\n", + " # Load and process the PDF document\n", + " loader = PyPDFLoader(file_path)\n", + " documents = loader.load()\n", + " text_splitter = CharacterTextSplitter()\n", + " self.documents = text_splitter.split_documents(documents)\n", + "\n", + " # Initialize embeddings and vector store\n", + " embeddings = OpenAIEmbeddings()\n", + " self.vector_store = LanceDB(\n", + " uri=db_url, embedding=embeddings, table_name=table_name\n", + " )\n", + "\n", + " # Add reranker\n", + " self.reranker = LinearCombinationReranker(weight=0.3)\n", + " self.docsearch = LanceDB.from_documents(\n", + " self.documents, embeddings, reranker=self.reranker\n", + " )\n", + "\n", + " print(\"Embedding stored in lancedb\")\n", + " # Initialize LLM and memory\n", + " self.llm = ChatOpenAI(\n", + " model_name=\"gpt-4o\",\n", + " temperature=0.01,\n", + " )\n", + " self.memory = ConversationBufferMemory(memory_key=\"chat_history\")\n", + "\n", + " def generate_prompt_template(\n", + " self, main_instructions, prompt_instructions, context_name, query\n", + " ):\n", + " \"\"\"\n", + " Generate a prompt template for LangChain LLM.\n", + "\n", + " Parameters:\n", + " main_instructions (str): Main instructions for the LLM.\n", + " prompt_instructions (str): Additional instructions for how to use the data.\n", + " context_name (str): The name of the context (e.g., search results).\n", + " query (str): The query from the user.\n", + "\n", + " Returns:\n", + " PromptTemplate: The generated prompt template.\n", + " \"\"\"\n", + " template = f\"\"\"{main_instructions}\n", + "\n", + " {prompt_instructions}\n", + "\n", + " {context_name}:\n", + " {{context}}\n", + "\n", + " Previous Conversations:\n", + " {{chat_history}}\n", + " Human: {query}\n", + " Chatbot:\"\"\"\n", + " return PromptTemplate(\n", + " template=template, input_variables=[\"context\", \"chat_history\"]\n", + " )\n", + "\n", + " def get_answer(self, query):\n", + " \"\"\"\n", + " Process a query and return the answer based on the preloaded PDF.\n", + "\n", + " Parameters:\n", + " query (str): The user's query.\n", + "\n", + " Returns:\n", + " str: The answer to the query.\n", + " \"\"\"\n", + " # Perform similarity search\n", + " docs = self.docsearch.similarity_search_with_relevance_scores(query)\n", + "\n", + " # Generate a prompt\n", + " prompt = self.generate_prompt_template(\n", + " main_instructions=\"Act as a knowledgeable assistant. Answer the query comprehensively and concisely based on the provided content.\",\n", + " prompt_instructions=(\n", + " \"Focus on extracting the most relevant and accurate information from the context. \"\n", + " \"Prioritize clarity, conciseness, and detail in your response. \"\n", + " \"When summarizing, ensure key points are highlighted without losing important nuances. \"\n", + " \"If the context is insufficient to fully address the query, acknowledge the limitation clearly.\"\n", + " ),\n", + " context_name=\"PDF Content\",\n", + " query=query,\n", + " )\n", + "\n", + " # Create the LangChain pipeline\n", + " chain = prompt | self.llm | StrOutputParser()\n", + "\n", + " # Invoke the chain and get the answer\n", + " answer = chain.invoke({\"context\": docs, \"chat_history\": self.memory})\n", + " return answer\n", + "\n", + "\n", + "# Initialize the QueryProcessor with the PDF file (done once)\n", + "file_path = \"/content/FARM5CROPS_farmergpt.pdf\"\n", + "query_processor = QueryProcessor(file_path)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "Pzs-a0Kcdokq", + "outputId": "a68fa8d5-edb0-4e7d-964c-4d151ad10a28" + }, + "execution_count": 14, + "outputs": [ { - "cell_type": "code", - "source": [ - "from lancedb.rerankers import LinearCombinationReranker\n", - "from langchain_community.document_loaders import PyPDFLoader\n", - "from langchain_community.vectorstores import LanceDB\n", - "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", - "from langchain_text_splitters import CharacterTextSplitter\n", - "from langchain_core.prompts import PromptTemplate\n", - "from langchain_core.output_parsers import StrOutputParser\n", - "from langchain.memory import ConversationBufferMemory\n", - "\n", - "class QueryProcessor:\n", - " def __init__(self, file_path, db_url=\"lancedb_temp\", table_name=\"lancedb_indic\"):\n", - " \"\"\"\n", - " Initialize the QueryProcessor with the PDF file and set up the vector store.\n", - "\n", - " Parameters:\n", - " file_path (str): Path to the PDF file.\n", - " db_url (str): URI for the LanceDB vector store.\n", - " table_name (str): Name of the table in LanceDB.\n", - " \"\"\"\n", - " # Load and process the PDF document\n", - " loader = PyPDFLoader(file_path)\n", - " documents = loader.load()\n", - " text_splitter = CharacterTextSplitter()\n", - " self.documents = text_splitter.split_documents(documents)\n", - "\n", - " # Initialize embeddings and vector store\n", - " embeddings = OpenAIEmbeddings()\n", - " self.vector_store = LanceDB(\n", - " uri=db_url,\n", - " embedding=embeddings,\n", - " table_name=table_name\n", - " )\n", - "\n", - " # Add reranker\n", - " self.reranker = LinearCombinationReranker(weight=0.3)\n", - " self.docsearch = LanceDB.from_documents(\n", - " self.documents, embeddings, reranker=self.reranker\n", - " )\n", - "\n", - " print(\"Embedding stored in lancedb\")\n", - " # Initialize LLM and memory\n", - " self.llm = ChatOpenAI(\n", - " model_name=\"gpt-4o\",\n", - " temperature=0.01,\n", - " )\n", - " self.memory = ConversationBufferMemory(memory_key=\"chat_history\")\n", - "\n", - " def generate_prompt_template(self, main_instructions, prompt_instructions, context_name, query):\n", - " \"\"\"\n", - " Generate a prompt template for LangChain LLM.\n", - "\n", - " Parameters:\n", - " main_instructions (str): Main instructions for the LLM.\n", - " prompt_instructions (str): Additional instructions for how to use the data.\n", - " context_name (str): The name of the context (e.g., search results).\n", - " query (str): The query from the user.\n", - "\n", - " Returns:\n", - " PromptTemplate: The generated prompt template.\n", - " \"\"\"\n", - " template = f\"\"\"{main_instructions}\n", - "\n", - " {prompt_instructions}\n", - "\n", - " {context_name}:\n", - " {{context}}\n", - "\n", - " Previous Conversations:\n", - " {{chat_history}}\n", - " Human: {query}\n", - " Chatbot:\"\"\"\n", - " return PromptTemplate(template=template, input_variables=[\"context\", \"chat_history\"])\n", - "\n", - " def get_answer(self, query):\n", - " \"\"\"\n", - " Process a query and return the answer based on the preloaded PDF.\n", - "\n", - " Parameters:\n", - " query (str): The user's query.\n", - "\n", - " Returns:\n", - " str: The answer to the query.\n", - " \"\"\"\n", - " # Perform similarity search\n", - " docs = self.docsearch.similarity_search_with_relevance_scores(query)\n", - "\n", - " # Generate a prompt\n", - " prompt = self.generate_prompt_template(\n", - " main_instructions=\"Act as a knowledgeable assistant. Answer the query comprehensively and concisely based on the provided content.\",\n", - " prompt_instructions=(\n", - " \"Focus on extracting the most relevant and accurate information from the context. \"\n", - " \"Prioritize clarity, conciseness, and detail in your response. \"\n", - " \"When summarizing, ensure key points are highlighted without losing important nuances. \"\n", - " \"If the context is insufficient to fully address the query, acknowledge the limitation clearly.\"\n", - " ),\n", - " context_name=\"PDF Content\",\n", - " query=query,\n", - " )\n", - "\n", - " # Create the LangChain pipeline\n", - " chain = prompt | self.llm | StrOutputParser()\n", - "\n", - " # Invoke the chain and get the answer\n", - " answer = chain.invoke({\"context\": docs, \"chat_history\": self.memory})\n", - " return answer\n", - "\n", - "# Initialize the QueryProcessor with the PDF file (done once)\n", - "file_path = \"/content/FARM5CROPS_farmergpt.pdf\"\n", - "query_processor = QueryProcessor(file_path)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Pzs-a0Kcdokq", - "outputId": "a68fa8d5-edb0-4e7d-964c-4d151ad10a28" - }, - "execution_count": 14, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Embedding stored in lancedb\n" - ] - } - ] + "output_type": "stream", + "name": "stdout", + "text": [ + "Embedding stored in lancedb\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "query = \"give me some sugarcane variety names?\"\n", + "answer = query_processor.get_answer(query)\n", + "print(\"Answer:\", answer)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "dt7rIDwDdonc", + "outputId": "489273aa-b269-4fdf-9cab-cae516f0c766" + }, + "execution_count": 15, + "outputs": [ { - "cell_type": "code", - "source": [ - "query = \"give me some sugarcane variety names?\"\n", - "answer = query_processor.get_answer(query)\n", - "print(\"Answer:\", answer)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dt7rIDwDdonc", - "outputId": "489273aa-b269-4fdf-9cab-cae516f0c766" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Answer: The sugarcane varieties are categorized by states in India as follows:\n", - "\n", - "- **Andhra Pradesh:**\n", - " - Early varieties: Co.6907, 84A125, 81A99, 83A30, 85A261, 87A298, Co.8014, 86V96, 91V83.\n", - " - Mid-late varieties: COA7607, CO8021, COT.8201, Co7805, COV92102 (83V15), 83V288.\n", - " - Late varieties: Co.7219, CoR8001, 87A380, Co7706.\n", - "\n", - "- **Bihar:**\n", - " - Varieties: Bo 99, CoP 9301, CoSe 98231, CoS 8436, Cos 95255, Bo 102, Bo 91, Bo 110, CoP 9206, CoSe 95422, CoSe 92423, UP 9530.\n", - "\n", - "- **Gujarat:**\n", - " - Varieties: Co 86002, Co 86032, CoSi 95071, Co 86249, CoN 05072.\n", - "\n", - "- **Haryana:**\n", - " - Varieties: CoJ 64, CoS 8436, CoS 88230, CoS 767.\n", - "\n", - "- **Karnataka:**\n", - " - Varieties: Co 94012, CoC 671, Co 92020, Co 8014, Co 86032, Co 62175, Co 8371, Co 740, Co 8011.\n", - "\n", - "- **Maharashtra:**\n", - " - Varieties: CoC 671, Co 86032, Co 8011, Co 94012, CoM 265, Co 92005.\n", - "\n", - "- **Odisha:**\n", - " - Varieties: Co 62175, CoA 89085, Co 87A298, Co86V96.\n", - "\n", - "- **Punjab:**\n", - " - Varieties: CoJ 85, CoJ 88, CoS8436, CoH 119, Co89003.\n", - "\n", - "- **Tamil Nadu:**\n", - " - Varieties: Co 94012, Co 94010, CoC 24.\n", - "\n", - "- **Uttar Pradesh:**\n", - " - Varieties: CoS 8436, Coj 64, CoS88230, CoS 98231, CoS 767, CoS 8432, CoPt 90223, CoS 92423, CoS97264, CoLk 8102.\n", - "\n", - "- **Uttrakhand:**\n", - " - Varieties: CoS 8436, CoS 88230, Cos 767, CoS 97264, CoSe 92423.\n" - ] - } - ] + "output_type": "stream", + "name": "stdout", + "text": [ + "Answer: The sugarcane varieties are categorized by states in India as follows:\n", + "\n", + "- **Andhra Pradesh:**\n", + " - Early varieties: Co.6907, 84A125, 81A99, 83A30, 85A261, 87A298, Co.8014, 86V96, 91V83.\n", + " - Mid-late varieties: COA7607, CO8021, COT.8201, Co7805, COV92102 (83V15), 83V288.\n", + " - Late varieties: Co.7219, CoR8001, 87A380, Co7706.\n", + "\n", + "- **Bihar:**\n", + " - Varieties: Bo 99, CoP 9301, CoSe 98231, CoS 8436, Cos 95255, Bo 102, Bo 91, Bo 110, CoP 9206, CoSe 95422, CoSe 92423, UP 9530.\n", + "\n", + "- **Gujarat:**\n", + " - Varieties: Co 86002, Co 86032, CoSi 95071, Co 86249, CoN 05072.\n", + "\n", + "- **Haryana:**\n", + " - Varieties: CoJ 64, CoS 8436, CoS 88230, CoS 767.\n", + "\n", + "- **Karnataka:**\n", + " - Varieties: Co 94012, CoC 671, Co 92020, Co 8014, Co 86032, Co 62175, Co 8371, Co 740, Co 8011.\n", + "\n", + "- **Maharashtra:**\n", + " - Varieties: CoC 671, Co 86032, Co 8011, Co 94012, CoM 265, Co 92005.\n", + "\n", + "- **Odisha:**\n", + " - Varieties: Co 62175, CoA 89085, Co 87A298, Co86V96.\n", + "\n", + "- **Punjab:**\n", + " - Varieties: CoJ 85, CoJ 88, CoS8436, CoH 119, Co89003.\n", + "\n", + "- **Tamil Nadu:**\n", + " - Varieties: Co 94012, Co 94010, CoC 24.\n", + "\n", + "- **Uttar Pradesh:**\n", + " - Varieties: CoS 8436, Coj 64, CoS88230, CoS 98231, CoS 767, CoS 8432, CoPt 90223, CoS 92423, CoS97264, CoLk 8102.\n", + "\n", + "- **Uttrakhand:**\n", + " - Varieties: CoS 8436, CoS 88230, Cos 767, CoS 97264, CoSe 92423.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Reuse with another query\n", + "query2 = \"What crops grow in dry regions?\"\n", + "answer2 = query_processor.get_answer(query2)\n", + "print(\"Answer:\", answer2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "lGUJMdVodorC", + "outputId": "4909b2ff-e97a-45be-83f3-71894e2a9162" + }, + "execution_count": 16, + "outputs": [ { - "cell_type": "code", - "source": [ - "# Reuse with another query\n", - "query2 = \"What crops grow in dry regions?\"\n", - "answer2 = query_processor.get_answer(query2)\n", - "print(\"Answer:\", answer2)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "lGUJMdVodorC", - "outputId": "4909b2ff-e97a-45be-83f3-71894e2a9162" - }, - "execution_count": 16, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Answer: In dry regions, crops that are typically grown include those that are drought-resistant and can thrive with minimal water. Some common crops suitable for dry regions are:\n", - "\n", - "1. **Millets**: These are hardy grains that require less water and can grow in poor soil conditions. Examples include pearl millet (bajra) and finger millet (ragi).\n", - "\n", - "2. **Sorghum**: Known for its drought tolerance, sorghum is a staple in many dry areas.\n", - "\n", - "3. **Pulses**: Legumes such as chickpeas, lentils, and pigeon peas are often grown in dry regions due to their ability to fix nitrogen and improve soil fertility.\n", - "\n", - "4. **Oilseeds**: Crops like sesame and mustard are suitable for dry climates.\n", - "\n", - "5. **Cotton**: This crop can be grown in semi-arid regions with proper irrigation management.\n", - "\n", - "6. **Cactus and Succulents**: While not traditional crops, these plants are increasingly being explored for their potential in arid agriculture.\n", - "\n", - "These crops are chosen for their ability to withstand water scarcity and their adaptability to the challenging conditions of dry regions.\n" - ] - } - ] + "output_type": "stream", + "name": "stdout", + "text": [ + "Answer: In dry regions, crops that are typically grown include those that are drought-resistant and can thrive with minimal water. Some common crops suitable for dry regions are:\n", + "\n", + "1. **Millets**: These are hardy grains that require less water and can grow in poor soil conditions. Examples include pearl millet (bajra) and finger millet (ragi).\n", + "\n", + "2. **Sorghum**: Known for its drought tolerance, sorghum is a staple in many dry areas.\n", + "\n", + "3. **Pulses**: Legumes such as chickpeas, lentils, and pigeon peas are often grown in dry regions due to their ability to fix nitrogen and improve soil fertility.\n", + "\n", + "4. **Oilseeds**: Crops like sesame and mustard are suitable for dry climates.\n", + "\n", + "5. **Cotton**: This crop can be grown in semi-arid regions with proper irrigation management.\n", + "\n", + "6. **Cactus and Succulents**: While not traditional crops, these plants are increasingly being explored for their potential in arid agriculture.\n", + "\n", + "These crops are chosen for their ability to withstand water scarcity and their adaptability to the challenging conditions of dry regions.\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# General template for your chat with pdf\n", + "##### change the promts as per requirements" + ], + "metadata": { + "id": "1dpAeJtLnL4D" + } + }, + { + "cell_type": "code", + "source": [ + "# gradio app\n", + "\n", + "import gradio as gr\n", + "from lancedb.rerankers import LinearCombinationReranker\n", + "from langchain_community.document_loaders import PyPDFLoader\n", + "from langchain_community.vectorstores import LanceDB\n", + "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", + "from langchain_text_splitters import CharacterTextSplitter\n", + "from langchain_core.prompts import PromptTemplate\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain.memory import ConversationBufferMemory\n", + "\n", + "\n", + "class QueryProcessor:\n", + " def __init__(self, file_path, db_url=\"lancedb_temp\", table_name=\"lancedb_indic\"):\n", + " loader = PyPDFLoader(file_path)\n", + " documents = loader.load()\n", + " text_splitter = CharacterTextSplitter()\n", + " self.documents = text_splitter.split_documents(documents)\n", + "\n", + " embeddings = OpenAIEmbeddings()\n", + " self.vector_store = LanceDB(\n", + " uri=db_url, embedding=embeddings, table_name=table_name\n", + " )\n", + "\n", + " self.reranker = LinearCombinationReranker(weight=0.3)\n", + " self.docsearch = LanceDB.from_documents(\n", + " self.documents, embeddings, reranker=self.reranker\n", + " )\n", + "\n", + " self.llm = ChatOpenAI(\n", + " model_name=\"gpt-4o\",\n", + " temperature=0.01,\n", + " )\n", + " self.memory = ConversationBufferMemory(memory_key=\"chat_history\")\n", + "\n", + " def generate_prompt_template(\n", + " self, main_instructions, prompt_instructions, context_name, query\n", + " ):\n", + " template = f\"\"\"{main_instructions}\n", + "\n", + " {prompt_instructions}\n", + "\n", + " {context_name}:\n", + " {{context}}\n", + "\n", + " Previous Conversations:\n", + " {{chat_history}}\n", + " Human: {query}\n", + " Chatbot:\"\"\"\n", + " return PromptTemplate(\n", + " template=template, input_variables=[\"context\", \"chat_history\"]\n", + " )\n", + "\n", + " def get_answer(self, query):\n", + " docs = self.docsearch.similarity_search_with_relevance_scores(query)\n", + "\n", + " prompt = self.generate_prompt_template(\n", + " main_instructions=\"Act as a knowledgeable assistant. Answer the query comprehensively and concisely based on the provided content.\",\n", + " prompt_instructions=(\n", + " \"Focus on extracting the most relevant and accurate information from the context. \"\n", + " \"Prioritize clarity, conciseness, and detail in your response. \"\n", + " \"When summarizing, ensure key points are highlighted without losing important nuances. \"\n", + " \"If the context is insufficient to fully address the query, acknowledge the limitation clearly.\"\n", + " ),\n", + " context_name=\"Search Results\",\n", + " query=query,\n", + " )\n", + "\n", + " chain = prompt | self.llm | StrOutputParser()\n", + "\n", + " answer = chain.invoke({\"context\": docs, \"chat_history\": self.memory})\n", + " return answer\n", + "\n", + "\n", + "def initialize_processor(pdf_file):\n", + " global query_processor\n", + " query_processor = QueryProcessor(pdf_file.name)\n", + " return \"PDF successfully loaded and processed. You can now ask questions.\"\n", + "\n", + "\n", + "def query_processor_fn(question):\n", + " global query_processor\n", + " if query_processor is None:\n", + " return \"Please upload a PDF first.\"\n", + " return query_processor.get_answer(question)\n", + "\n", + "\n", + "query_processor = None\n", + "\n", + "# Define Gradio interface\n", + "with gr.Blocks() as app:\n", + " gr.Markdown(\"# RAG On PDF - FarmersGPT\")\n", + "\n", + " with gr.Row():\n", + " pdf_upload = gr.File(label=\"Upload PDF\", file_types=[\".pdf\"])\n", + " pdf_status = gr.Textbox(label=\"Status\", interactive=False)\n", + "\n", + " load_pdf_btn = gr.Button(\"Load PDF\")\n", + "\n", + " with gr.Row():\n", + " user_query = gr.Textbox(\n", + " label=\"Ask a question\", placeholder=\"Enter your question here...\"\n", + " )\n", + " answer_box = gr.Textbox(label=\"Answer\", interactive=False)\n", + "\n", + " ask_question_btn = gr.Button(\"Get Answer\")\n", + "\n", + " load_pdf_btn.click(initialize_processor, inputs=[pdf_upload], outputs=[pdf_status])\n", + " ask_question_btn.click(\n", + " query_processor_fn, inputs=[user_query], outputs=[answer_box]\n", + " )\n", + "\n", + "app.launch(debug=True, share=True)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 611 }, + "id": "RVc-wh3ld_Ga", + "outputId": "05b0d7de-e095-4d19-a836-63edfa715af6" + }, + "execution_count": null, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# General template for your chat with pdf\n", - "##### change the promts as per requirements" - ], - "metadata": { - "id": "1dpAeJtLnL4D" - } + "output_type": "stream", + "name": "stdout", + "text": [ + "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n", + "* Running on public URL: https://6e972183d1c4f70073.gradio.live\n", + "\n", + "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n" + ] }, { - "cell_type": "code", - "source": [ - "#gradio app\n", - "\n", - "import gradio as gr\n", - "from lancedb.rerankers import LinearCombinationReranker\n", - "from langchain_community.document_loaders import PyPDFLoader\n", - "from langchain_community.vectorstores import LanceDB\n", - "from langchain_openai import OpenAIEmbeddings, ChatOpenAI\n", - "from langchain_text_splitters import CharacterTextSplitter\n", - "from langchain_core.prompts import PromptTemplate\n", - "from langchain_core.output_parsers import StrOutputParser\n", - "from langchain.memory import ConversationBufferMemory\n", - "\n", - "class QueryProcessor:\n", - " def __init__(self, file_path, db_url=\"lancedb_temp\", table_name=\"lancedb_indic\"):\n", - " loader = PyPDFLoader(file_path)\n", - " documents = loader.load()\n", - " text_splitter = CharacterTextSplitter()\n", - " self.documents = text_splitter.split_documents(documents)\n", - "\n", - " embeddings = OpenAIEmbeddings()\n", - " self.vector_store = LanceDB(\n", - " uri=db_url,\n", - " embedding=embeddings,\n", - " table_name=table_name\n", - " )\n", - "\n", - " self.reranker = LinearCombinationReranker(weight=0.3)\n", - " self.docsearch = LanceDB.from_documents(\n", - " self.documents, embeddings, reranker=self.reranker\n", - " )\n", - "\n", - " self.llm = ChatOpenAI(\n", - " model_name=\"gpt-4o\",\n", - " temperature=0.01,\n", - " )\n", - " self.memory = ConversationBufferMemory(memory_key=\"chat_history\")\n", - "\n", - " def generate_prompt_template(self, main_instructions, prompt_instructions, context_name, query):\n", - " template = f\"\"\"{main_instructions}\n", - "\n", - " {prompt_instructions}\n", - "\n", - " {context_name}:\n", - " {{context}}\n", - "\n", - " Previous Conversations:\n", - " {{chat_history}}\n", - " Human: {query}\n", - " Chatbot:\"\"\"\n", - " return PromptTemplate(template=template, input_variables=[\"context\", \"chat_history\"])\n", - "\n", - " def get_answer(self, query):\n", - " docs = self.docsearch.similarity_search_with_relevance_scores(query)\n", - "\n", - " prompt = self.generate_prompt_template(\n", - " main_instructions=\"Act as a knowledgeable assistant. Answer the query comprehensively and concisely based on the provided content.\",\n", - " prompt_instructions=(\n", - " \"Focus on extracting the most relevant and accurate information from the context. \"\n", - " \"Prioritize clarity, conciseness, and detail in your response. \"\n", - " \"When summarizing, ensure key points are highlighted without losing important nuances. \"\n", - " \"If the context is insufficient to fully address the query, acknowledge the limitation clearly.\"\n", - " ),\n", - " context_name=\"Search Results\",\n", - " query=query,\n", - " )\n", - "\n", - " chain = prompt | self.llm | StrOutputParser()\n", - "\n", - " answer = chain.invoke({\"context\": docs, \"chat_history\": self.memory})\n", - " return answer\n", - "\n", - "def initialize_processor(pdf_file):\n", - " global query_processor\n", - " query_processor = QueryProcessor(pdf_file.name)\n", - " return \"PDF successfully loaded and processed. You can now ask questions.\"\n", - "\n", - "def query_processor_fn(question):\n", - " global query_processor\n", - " if query_processor is None:\n", - " return \"Please upload a PDF first.\"\n", - " return query_processor.get_answer(question)\n", - "\n", - "query_processor = None\n", - "\n", - "# Define Gradio interface\n", - "with gr.Blocks() as app:\n", - " gr.Markdown(\"# RAG On PDF - FarmersGPT\")\n", - "\n", - " with gr.Row():\n", - " pdf_upload = gr.File(label=\"Upload PDF\", file_types=[\".pdf\"])\n", - " pdf_status = gr.Textbox(label=\"Status\", interactive=False)\n", - "\n", - " load_pdf_btn = gr.Button(\"Load PDF\")\n", - "\n", - " with gr.Row():\n", - " user_query = gr.Textbox(label=\"Ask a question\", placeholder=\"Enter your question here...\")\n", - " answer_box = gr.Textbox(label=\"Answer\", interactive=False)\n", - "\n", - " ask_question_btn = gr.Button(\"Get Answer\")\n", - "\n", - " load_pdf_btn.click(initialize_processor, inputs=[pdf_upload], outputs=[pdf_status])\n", - " ask_question_btn.click(query_processor_fn, inputs=[user_query], outputs=[answer_box])\n", - "\n", - "app.launch(debug=True,share=True)\n" + "output_type": "display_data", + "data": { + "text/plain": [ + "" ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 611 - }, - "id": "RVc-wh3ld_Ga", - "outputId": "05b0d7de-e095-4d19-a836-63edfa715af6" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n", - "* Running on public URL: https://6e972183d1c4f70073.gradio.live\n", - "\n", - "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "
" - ] - }, - "metadata": {} - } + "text/html": [ + "
" ] - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "id": "lWPuyELzxiRq" - }, - "execution_count": null, - "outputs": [] + }, + "metadata": {} } - ] + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "lWPuyELzxiRq" + }, + "execution_count": null, + "outputs": [] + } + ] } diff --git a/examples/congee-RAG/README.md b/examples/congee-RAG/README.md new file mode 100644 index 0000000..1bb7fa9 --- /dev/null +++ b/examples/congee-RAG/README.md @@ -0,0 +1,86 @@ +# Cognee - Get Started + +## Let's talk about the problem first + +### Large Language Models (LLMs) have become powerful tools for generating text and answering questions, but they still have several limitations and challenges. Below is an overview of some of the biggest problems with the results they produce: + +### 1. Hallucinations and Misinformation +- Hallucinations: LLMs sometimes produce outputs that are factually incorrect or entirely fabricated. This phenomenon is known as "hallucination." Even if an LLM seems confident, the information it provides might not be reliable. +- Misinformation: Misinformation can be subtle or glaring, ranging from minor inaccuracies to entirely fictitious events, sources, or data. + +### 2. Lack of Contextual Understanding +- LLMs can recognize and replicate patterns in language but don’t have true comprehension. This can lead to responses that are coherent but miss nuanced context or deeper meaning. +- They can misinterpret multi-turn conversations, leading to confusion in maintaining context over a long dialogue. + +### 3. Inconsistent Reliability +- Depending on the prompt, LLMs might produce inconsistent responses to similar questions or tasks. For example, the same query might result in conflicting answers when asked in slightly different ways. +- This inconsistency can undermine trust in the model's outputs, especially in professional or academic settings. + +### 4. Inability to Access Real-Time Information +- Most LLMs are trained on data up to a specific point and cannot access or generate information on current events or emerging trends unless updated. This can make them unsuitable for inquiries requiring up-to-date information. +- Real-time browsing capabilities can help, but they are not universally available. + +### 5. Lack of Personalization and Adaptability +- LLMs do not naturally adapt to individual preferences or learning styles unless explicitly programmed to do so. This limits their usefulness in providing personalized recommendations or support. + +### 6. Difficulty with Highly Technical or Niche Domains +- LLMs may struggle with highly specialized or technical topics where domain-specific knowledge is required. +- They can produce technically plausible but inaccurate or incomplete information, which can be misleading in areas like law, medicine, or scientific research. + +### 7. Ambiguity in Response Generation +- LLMs might not always specify their level of certainty, making it hard to gauge when they are speculating or providing less confident answers. +- They lack a mechanism to say “I don’t know,” which can lead to responses that are less useful or potentially misleading. + +## The next solution was RAGs + +RAGs (Retrieval Augmented Generation) are systems that connect to a vector store and search for similar data so they can enrich LLM response. + +![rag.png](data:image/png;base64,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) + + +The problem lies in the nature of the search. If you just find some keywords, and return one or many documents from vectorstore this way, you will have an issue with the the way you would use to organise and prioritise documents. + + +![rag_problem_v2_white.drawio.png](data:image/png;base64,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) + + +## Semantic similarity search is not magic +The most similar result isn't the most relevant one. +If you search for documents in which the sentiment expressed is "I like apples.", one of the closest results you get are documents in which the sentiment expressed is "I don't like apples." +Wouldn't it be nice to have a semantic model LLMs could use? + +## That is where Cognee comes in +Cognee assists developers in introducing greater predictability and management into their Retrieval-Augmented Generation (RAG) workflows through the use of graph architectures, vector stores, and auto-optimizing pipelines. Displaying information as a graph is the clearest way to grasp the content of your documents. Crucially, graphs allow systematic navigation and extraction of data from documents based on their hierarchy. + +Cognee lets you create tasks and contextual pipelines of tasks that enable composable GraphRAG, where you have full control of all the elements of the pipeline from ingestion until graph creation. + + +## Core Concepts +Most of the data we provide to a system can be categorized as unstructured, semi-structured, or structured. Rows from a database would belong to structured data, jsons to semi-structured data, and logs that we input into the system could be considered unstructured. To organize and process this data, we need to ensure we have custom loaders for all data types, which can help us unify and organize it properly. + +![image.png](data:image/png;base64,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+ + +In the example above, we have a pipeline in which data has been imported from various sources, normalized, and stored in a database. + +## Concept 2: Data Enrichment with LLMs +LLMs are adept at processing unstructured data. They can easily extract summaries, keywords, and other useful information from documents. We use function calling with Pydantic models to extract information from the unstructured data. + +![image.png](data:image/png;base64,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) + + +## Concept 3: Graphs +Knowledge graphs simply map out knowledge, linking specific facts and their connections. When Large Language Models (LLMs) process text, they infer these links, leading to occasional inaccuracies due to their probabilistic nature. Clearly defined relationships enhance their accuracy. This structured approach can extend beyond concepts to document layouts, pages, or other organizational schemas. + 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) + +## Concept 4: Vector and Graph Retrieval +Cognee lets you use multiple vector and graph retrieval methods to find the most relevant information. + +## Concept 5: Auto-Optimizing Pipelines +Integrating knowledge graphs into Retrieval-Augmented Generation (RAG) pipelines leads to an intriguing outcome: the system's adeptness at contextual understanding allows it to be evaluated in a way Machine Learning (ML) engineers are accustomed to. This involves bombarding the RAG system with hundreds of synthetic questions, enabling the knowledge graph to evolve and refine its context autonomously over time. This method paves the way for developing self-improving memory engines that can adapt to new data and user feedback. + + +## Below is a diagram of the cognee process for the data used in this example + +![cognee_final.drawio.png](data:image/png;base64,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) \ No newline at end of file diff --git a/examples/congee-RAG/cognee_demo.ipynb b/examples/congee-RAG/cognee_demo.ipynb new file mode 100644 index 0000000..01fb7d6 --- /dev/null +++ b/examples/congee-RAG/cognee_demo.ipynb @@ -0,0 +1,1045 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d35ac8ce-0f92-46f5-9ba4-a46970f0ce19", + "metadata": { + "id": "d35ac8ce-0f92-46f5-9ba4-a46970f0ce19" + }, + "source": [ + "# Cognee - Get Started" + ] + }, + { + "cell_type": "markdown", + "id": "bd981778-0c84-4542-8e6f-1a7712184873", + "metadata": { + "editable": true, + "tags": [], + "id": "bd981778-0c84-4542-8e6f-1a7712184873" + }, + "source": [ + "## Let's talk about the problem first\n", + "\n", + "### Large Language Models (LLMs) have become powerful tools for generating text and answering questions, but they still have several limitations and challenges. Below is an overview of some of the biggest problems with the results they produce:\n", + "\n", + "### 1. Hallucinations and Misinformation\n", + "- Hallucinations: LLMs sometimes produce outputs that are factually incorrect or entirely fabricated. This phenomenon is known as \"hallucination.\" Even if an LLM seems confident, the information it provides might not be reliable.\n", + "- Misinformation: Misinformation can be subtle or glaring, ranging from minor inaccuracies to entirely fictitious events, sources, or data.\n", + "\n", + "### 2. Lack of Contextual Understanding\n", + "- LLMs can recognize and replicate patterns in language but don’t have true comprehension. This can lead to responses that are coherent but miss nuanced context or deeper meaning.\n", + "- They can misinterpret multi-turn conversations, leading to confusion in maintaining context over a long dialogue.\n", + "\n", + "### 3. Inconsistent Reliability\n", + "- Depending on the prompt, LLMs might produce inconsistent responses to similar questions or tasks. For example, the same query might result in conflicting answers when asked in slightly different ways.\n", + "- This inconsistency can undermine trust in the model's outputs, especially in professional or academic settings.\n", + "\n", + "### 4. Inability to Access Real-Time Information\n", + "- Most LLMs are trained on data up to a specific point and cannot access or generate information on current events or emerging trends unless updated. This can make them unsuitable for inquiries requiring up-to-date information.\n", + "- Real-time browsing capabilities can help, but they are not universally available.\n", + "\n", + "### 5. Lack of Personalization and Adaptability\n", + "- LLMs do not naturally adapt to individual preferences or learning styles unless explicitly programmed to do so. This limits their usefulness in providing personalized recommendations or support.\n", + "\n", + "### 6. Difficulty with Highly Technical or Niche Domains\n", + "- LLMs may struggle with highly specialized or technical topics where domain-specific knowledge is required.\n", + "- They can produce technically plausible but inaccurate or incomplete information, which can be misleading in areas like law, medicine, or scientific research.\n", + "\n", + "### 7. Ambiguity in Response Generation\n", + "- LLMs might not always specify their level of certainty, making it hard to gauge when they are speculating or providing less confident answers.\n", + "- They lack a mechanism to say “I don’t know,” which can lead to responses that are less useful or potentially misleading." + ] + }, + { + "cell_type": "markdown", + "id": "d8e606b1-94d3-43ce-bb4b-dbadff7f4ca6", + "metadata": { + "id": "d8e606b1-94d3-43ce-bb4b-dbadff7f4ca6" + }, + "source": [ + "## The next solution was RAGs\n", + "\n", + "#### RAGs (Retrieval Augmented Generation) are systems that connect to a vector store and search for similar data so they can enrich LLM response." + ] + }, + { + "cell_type": "markdown", + "id": "23e74f22-f43c-4f03-afe0-b423cbaa412a", + "metadata": { + "id": "23e74f22-f43c-4f03-afe0-b423cbaa412a" + }, + "source": [ + 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)" + ] + }, + { + "cell_type": "markdown", + "id": "b6a98710-a14b-4a14-bb56-d3ae055e94d9", + "metadata": { + "id": "b6a98710-a14b-4a14-bb56-d3ae055e94d9" + }, + "source": [ + "#### The problem lies in the nature of the search. If you just find some keywords, and return one or many documents from vectorstore this way, you will have an issue with the the way you would use to organise and prioritise documents.\n" + ] + }, + { + "cell_type": "markdown", + "source": [ + "![rag_problem_v2_white.drawio.png](data:image/png;base64,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)" + ], + "metadata": { + "id": "RQfw9o-Ege5S" + }, + "id": "RQfw9o-Ege5S" + }, + { + "cell_type": "markdown", + "id": "d3406b8f-cb9a-46ce-9029-2cbae2755795", + "metadata": { + "id": "d3406b8f-cb9a-46ce-9029-2cbae2755795" + }, + "source": [ + "## Semantic similarity search is not magic\n", + "#### The most similar result isn't the most relevant one.\n", + "#### If you search for documents in which the sentiment expressed is \"I like apples.\", one of the closest results you get are documents in which the sentiment expressed is \"I don't like apples.\"\n", + "#### Wouldn't it be nice to have a semantic model LLMs could use?\n" + ] + }, + { + "cell_type": "markdown", + "id": "b900f830-8e9e-4272-b198-594606da4457", + "metadata": { + "id": "b900f830-8e9e-4272-b198-594606da4457" + }, + "source": [ + "# That is where Cognee comes in" + ] + }, + { + "cell_type": "markdown", + "id": "d3ae099a-1bbb-4f13-9bcb-c0f778d50e91", + "metadata": { + "id": "d3ae099a-1bbb-4f13-9bcb-c0f778d50e91" + }, + "source": [ + "#### Cognee assists developers in introducing greater predictability and management into their Retrieval-Augmented Generation (RAG) workflows through the use of graph architectures, vector stores, and auto-optimizing pipelines. Displaying information as a graph is the clearest way to grasp the content of your documents. Crucially, graphs allow systematic navigation and extraction of data from documents based on their hierarchy.\n", + "\n", + "#### Cognee lets you create tasks and contextual pipelines of tasks that enable composable GraphRAG, where you have full control of all the elements of the pipeline from ingestion until graph creation." + ] + }, + { + "cell_type": "markdown", + "id": "785383b0-87b5-4a0a-be3f-e809aa284e30", + "metadata": { + "id": "785383b0-87b5-4a0a-be3f-e809aa284e30" + }, + "source": [ + "# Core Concepts" + ] + }, + { + "cell_type": "markdown", + "id": "3540ce30-2b22-4ece-8516-8d5ff2a405fe", + "metadata": { + "id": "3540ce30-2b22-4ece-8516-8d5ff2a405fe" + }, + "source": [ + "### Most of the data we provide to a system can be categorized as unstructured, semi-structured, or structured. Rows from a database would belong to structured data, jsons to semi-structured data, and logs that we input into the system could be considered unstructured. To organize and process this data, we need to ensure we have custom loaders for all data types, which can help us unify and organize it properly." + ] + }, + { + "cell_type": "markdown", + "id": "fe0bfa57-dca7-40aa-9ead-c6852b155878", + "metadata": { + "id": "fe0bfa57-dca7-40aa-9ead-c6852b155878" + }, + "source": [ + 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)" + ] + }, + { + "cell_type": "markdown", + "id": "7e47bae4-d27d-4430-a134-e1b381378f5c", + "metadata": { + "id": "7e47bae4-d27d-4430-a134-e1b381378f5c" + }, + "source": [ + "#### In the example above, we have a pipeline in which data has been imported from various sources, normalized, and stored in a database." + ] + }, + { + "cell_type": "markdown", + "id": "2f9c9376-8c68-4397-9081-d260cddcbd25", + "metadata": { + "id": "2f9c9376-8c68-4397-9081-d260cddcbd25" + }, + "source": [ + "## Concept 2: Data Enrichment with LLMs" + ] + }, + { + "cell_type": "markdown", + "source": [ + "#### LLMs are adept at processing unstructured data. They can easily extract summaries, keywords, and other useful information from documents. We use function calling with Pydantic models to extract information from the unstructured data." + ], + "metadata": { + "id": "oFMidcsB7ap6" + }, + "id": "oFMidcsB7ap6" + }, + { + "cell_type": "markdown", + "source": [ + 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)" + ], + "metadata": { + "id": "WXP8KevM7dRT" + }, + "id": "WXP8KevM7dRT" + }, + { + "cell_type": "markdown", + "source": [ + "#### We decompose the loaded content into graphs, allowing us to more precisely map out the relationships between entities and concepts." + ], + "metadata": { + "id": "A9PMdOc37rbo" + }, + "id": "A9PMdOc37rbo" + }, + { + "cell_type": "markdown", + "source": [ + "## Concept 3: Graphs" + ], + "metadata": { + "id": "VLDoIXqI7uOD" + }, + "id": "VLDoIXqI7uOD" + }, + { + "cell_type": "markdown", + "source": [ + "#### Knowledge graphs simply map out knowledge, linking specific facts and their connections. When Large Language Models (LLMs) process text, they infer these links, leading to occasional inaccuracies due to their probabilistic nature. Clearly defined relationships enhance their accuracy. This structured approach can extend beyond concepts to document layouts, pages, or other organizational schemas." + ], + "metadata": { + "id": "t1yh531L7vve" + }, + "id": "t1yh531L7vve" + }, + { + "cell_type": "markdown", + "source": [ + 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)" + ], + "metadata": { + "id": "AArlpK0S7x6X" + }, + "id": "AArlpK0S7x6X" + }, + { + "cell_type": "markdown", + "source": [ + "## Concept 4: Vector and Graph Retrieval" + ], + "metadata": { + "id": "XJ-gpI6f76CD" + }, + "id": "XJ-gpI6f76CD" + }, + { + "cell_type": "markdown", + "source": [ + "#### Cognee lets you use multiple vector and graph retrieval methods to find the most relevant information." + ], + "metadata": { + "id": "tJz0QrQe7-hF" + }, + "id": "tJz0QrQe7-hF" + }, + { + "cell_type": "markdown", + "source": [ + "## Concept 5: Auto-Optimizing Pipelines" + ], + "metadata": { + "id": "BKlaAVQx8AyK" + }, + "id": "BKlaAVQx8AyK" + }, + { + "cell_type": "markdown", + "source": [ + "#### Integrating knowledge graphs into Retrieval-Augmented Generation (RAG) pipelines leads to an intriguing outcome: the system's adeptness at contextual understanding allows it to be evaluated in a way Machine Learning (ML) engineers are accustomed to. This involves bombarding the RAG system with hundreds of synthetic questions, enabling the knowledge graph to evolve and refine its context autonomously over time. This method paves the way for developing self-improving memory engines that can adapt to new data and user feedback." + ], + "metadata": { + "id": "3h0kmuL88CU4" + }, + "id": "3h0kmuL88CU4" + }, + { + "cell_type": "markdown", + "id": "074f0ea8-c659-4736-be26-be4b0e5ac665", + "metadata": { + "id": "074f0ea8-c659-4736-be26-be4b0e5ac665" + }, + "source": [ + "# Demo time" + ] + }, + { + "cell_type": "markdown", + "source": [ + "#### First we need to install all dependencies:" + ], + "metadata": { + "id": "hVVgc9KZmk3v" + }, + "id": "hVVgc9KZmk3v" + }, + { + "cell_type": "code", + "source": [ + "!pip install onnxruntime-gpu==1.17.1 --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ -qqq" + ], + "metadata": { + "id": "7ytkuIkFmeiE" + }, + "id": "7ytkuIkFmeiE", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "!pip install cognee==0.1.18" + ], + "metadata": { + "id": "cVPQTKcWmgJ0" + }, + "id": "cVPQTKcWmgJ0", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "0587d91d", + "metadata": { + "id": "0587d91d" + }, + "source": [ + "#### Then let's define some data that we will cognify and perform a search on" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df16431d0f48b006", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:48.519686Z", + "start_time": "2024-09-20T14:02:48.515589Z" + }, + "id": "df16431d0f48b006" + }, + "outputs": [], + "source": [ + "job_position = \"\"\"Senior Data Scientist (Machine Learning)\n", + "\n", + "Company: TechNova Solutions\n", + "Location: San Francisco, CA\n", + "\n", + "Job Description:\n", + "\n", + "TechNova Solutions is seeking a Senior Data Scientist specializing in Machine Learning to join our dynamic analytics team. The ideal candidate will have a strong background in developing and deploying machine learning models, working with large datasets, and translating complex data into actionable insights.\n", + "\n", + "Responsibilities:\n", + "\n", + "Develop and implement advanced machine learning algorithms and models.\n", + "Analyze large, complex datasets to extract meaningful patterns and insights.\n", + "Collaborate with cross-functional teams to integrate predictive models into products.\n", + "Stay updated with the latest advancements in machine learning and data science.\n", + "Mentor junior data scientists and provide technical guidance.\n", + "Qualifications:\n", + "\n", + "Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.\n", + "5+ years of experience in data science and machine learning.\n", + "Proficient in Python, R, and SQL.\n", + "Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).\n", + "Strong problem-solving skills and attention to detail.\n", + "Candidate CVs\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9086abf3af077ab4", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:49.120838Z", + "start_time": "2024-09-20T14:02:49.118294Z" + }, + "id": "9086abf3af077ab4" + }, + "outputs": [], + "source": [ + "job_1 = \"\"\"\n", + "CV 1: Relevant\n", + "Name: Dr. Emily Carter\n", + "Contact Information:\n", + "\n", + "Email: emily.carter@example.com\n", + "Phone: (555) 123-4567\n", + "Summary:\n", + "\n", + "Senior Data Scientist with over 8 years of experience in machine learning and predictive analytics. Expertise in developing advanced algorithms and deploying scalable models in production environments.\n", + "\n", + "Education:\n", + "\n", + "Ph.D. in Computer Science, Stanford University (2014)\n", + "B.S. in Mathematics, University of California, Berkeley (2010)\n", + "Experience:\n", + "\n", + "Senior Data Scientist, InnovateAI Labs (2016 – Present)\n", + "Led a team in developing machine learning models for natural language processing applications.\n", + "Implemented deep learning algorithms that improved prediction accuracy by 25%.\n", + "Collaborated with cross-functional teams to integrate models into cloud-based platforms.\n", + "Data Scientist, DataWave Analytics (2014 – 2016)\n", + "Developed predictive models for customer segmentation and churn analysis.\n", + "Analyzed large datasets using Hadoop and Spark frameworks.\n", + "Skills:\n", + "\n", + "Programming Languages: Python, R, SQL\n", + "Machine Learning: TensorFlow, Keras, Scikit-Learn\n", + "Big Data Technologies: Hadoop, Spark\n", + "Data Visualization: Tableau, Matplotlib\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a9de0cc07f798b7f", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:49.675003Z", + "start_time": "2024-09-20T14:02:49.671615Z" + }, + "id": "a9de0cc07f798b7f" + }, + "outputs": [], + "source": [ + "job_2 = \"\"\"\n", + "CV 2: Relevant\n", + "Name: Michael Rodriguez\n", + "Contact Information:\n", + "\n", + "Email: michael.rodriguez@example.com\n", + "Phone: (555) 234-5678\n", + "Summary:\n", + "\n", + "Data Scientist with a strong background in machine learning and statistical modeling. Skilled in handling large datasets and translating data into actionable business insights.\n", + "\n", + "Education:\n", + "\n", + "M.S. in Data Science, Carnegie Mellon University (2013)\n", + "B.S. in Computer Science, University of Michigan (2011)\n", + "Experience:\n", + "\n", + "Senior Data Scientist, Alpha Analytics (2017 – Present)\n", + "Developed machine learning models to optimize marketing strategies.\n", + "Reduced customer acquisition cost by 15% through predictive modeling.\n", + "Data Scientist, TechInsights (2013 – 2017)\n", + "Analyzed user behavior data to improve product features.\n", + "Implemented A/B testing frameworks to evaluate product changes.\n", + "Skills:\n", + "\n", + "Programming Languages: Python, Java, SQL\n", + "Machine Learning: Scikit-Learn, XGBoost\n", + "Data Visualization: Seaborn, Plotly\n", + "Databases: MySQL, MongoDB\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "185ff1c102d06111", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:50.286828Z", + "start_time": "2024-09-20T14:02:50.284369Z" + }, + "id": "185ff1c102d06111" + }, + "outputs": [], + "source": [ + "job_3 = \"\"\"\n", + "CV 3: Relevant\n", + "Name: Sarah Nguyen\n", + "Contact Information:\n", + "\n", + "Email: sarah.nguyen@example.com\n", + "Phone: (555) 345-6789\n", + "Summary:\n", + "\n", + "Data Scientist specializing in machine learning with 6 years of experience. Passionate about leveraging data to drive business solutions and improve product performance.\n", + "\n", + "Education:\n", + "\n", + "M.S. in Statistics, University of Washington (2014)\n", + "B.S. in Applied Mathematics, University of Texas at Austin (2012)\n", + "Experience:\n", + "\n", + "Data Scientist, QuantumTech (2016 – Present)\n", + "Designed and implemented machine learning algorithms for financial forecasting.\n", + "Improved model efficiency by 20% through algorithm optimization.\n", + "Junior Data Scientist, DataCore Solutions (2014 – 2016)\n", + "Assisted in developing predictive models for supply chain optimization.\n", + "Conducted data cleaning and preprocessing on large datasets.\n", + "Skills:\n", + "\n", + "Programming Languages: Python, R\n", + "Machine Learning Frameworks: PyTorch, Scikit-Learn\n", + "Statistical Analysis: SAS, SPSS\n", + "Cloud Platforms: AWS, Azure\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d55ce4c58f8efb67", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:50.950343Z", + "start_time": "2024-09-20T14:02:50.946378Z" + }, + "id": "d55ce4c58f8efb67" + }, + "outputs": [], + "source": [ + "job_4 = \"\"\"\n", + "CV 4: Not Relevant\n", + "Name: David Thompson\n", + "Contact Information:\n", + "\n", + "Email: david.thompson@example.com\n", + "Phone: (555) 456-7890\n", + "Summary:\n", + "\n", + "Creative Graphic Designer with over 8 years of experience in visual design and branding. Proficient in Adobe Creative Suite and passionate about creating compelling visuals.\n", + "\n", + "Education:\n", + "\n", + "B.F.A. in Graphic Design, Rhode Island School of Design (2012)\n", + "Experience:\n", + "\n", + "Senior Graphic Designer, CreativeWorks Agency (2015 – Present)\n", + "Led design projects for clients in various industries.\n", + "Created branding materials that increased client engagement by 30%.\n", + "Graphic Designer, Visual Innovations (2012 – 2015)\n", + "Designed marketing collateral, including brochures, logos, and websites.\n", + "Collaborated with the marketing team to develop cohesive brand strategies.\n", + "Skills:\n", + "\n", + "Design Software: Adobe Photoshop, Illustrator, InDesign\n", + "Web Design: HTML, CSS\n", + "Specialties: Branding and Identity, Typography\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ca4ecc32721ad332", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:51.548191Z", + "start_time": "2024-09-20T14:02:51.545520Z" + }, + "id": "ca4ecc32721ad332" + }, + "outputs": [], + "source": [ + "job_5 = \"\"\"\n", + "CV 5: Not Relevant\n", + "Name: Jessica Miller\n", + "Contact Information:\n", + "\n", + "Email: jessica.miller@example.com\n", + "Phone: (555) 567-8901\n", + "Summary:\n", + "\n", + "Experienced Sales Manager with a strong track record in driving sales growth and building high-performing teams. Excellent communication and leadership skills.\n", + "\n", + "Education:\n", + "\n", + "B.A. in Business Administration, University of Southern California (2010)\n", + "Experience:\n", + "\n", + "Sales Manager, Global Enterprises (2015 – Present)\n", + "Managed a sales team of 15 members, achieving a 20% increase in annual revenue.\n", + "Developed sales strategies that expanded customer base by 25%.\n", + "Sales Representative, Market Leaders Inc. (2010 – 2015)\n", + "Consistently exceeded sales targets and received the 'Top Salesperson' award in 2013.\n", + "Skills:\n", + "\n", + "Sales Strategy and Planning\n", + "Team Leadership and Development\n", + "CRM Software: Salesforce, Zoho\n", + "Negotiation and Relationship Building\n", + "\"\"\"" + ] + }, + { + "cell_type": "markdown", + "source": [ + "#### Please add the necessary environment information bellow:" + ], + "metadata": { + "id": "onKOiY1ksR30" + }, + "id": "onKOiY1ksR30" + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bce39dc6", + "metadata": { + "id": "bce39dc6" + }, + "outputs": [], + "source": [ + "import os\n", + "\n", + "# # Setting environment variables\n", + "os.environ[\"GRAPHISTRY_USERNAME\"] = \"\"\n", + "os.environ[\"GRAPHISTRY_PASSWORD\"] = \"\"\n", + "\n", + "os.environ[\"LLM_API_KEY\"] = \"\"\n", + "\n", + "# \"neo4j\" or \"networkx\"\n", + "os.environ[\"GRAPH_DATABASE_PROVIDER\"] = \"networkx\"\n", + "# Not needed if using networkx\n", + "# GRAPH_DATABASE_URL=\"\"\n", + "# GRAPH_DATABASE_USERNAME=\"\"\n", + "# GRAPH_DATABASE_PASSWORD=\"\"\n", + "\n", + "# \"qdrant\", \"weaviate\" or \"lancedb\"\n", + "os.environ[\"VECTOR_ENGINE_PROVIDER\"] = \"lancedb\"\n", + "# Not needed if using \"lancedb\"\n", + "# os.environ[\"VECTOR_DB_URL\"]=\"\"\n", + "# os.environ[\"VECTOR_DB_KEY\"]=\"\"\n", + "\n", + "# Database provider \"sqlite\" or \"postgres\"\n", + "os.environ[\"DB_PROVIDER\"] = \"sqlite\"\n", + "\n", + "# Database name\n", + "os.environ[\"DB_NAME\"] = \"cognee_db\"\n", + "\n", + "# Postgres specific parameters (Only if Postgres is run)\n", + "# os.environ[\"DB_HOST\"]=\"127.0.0.1\"\n", + "# os.environ[\"DB_PORT\"]=\"5432\"\n", + "# os.environ[\"DB_USERNAME\"]=\"cognee\"\n", + "# os.environ[\"DB_PASSWORD\"]=\"cognee\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f1a1dbd", + "metadata": { + "id": "9f1a1dbd" + }, + "outputs": [], + "source": [ + "# Reset the cognee system with the following command:\n", + "\n", + "import cognee\n", + "\n", + "await cognee.prune.prune_data()\n", + "await cognee.prune.prune_system(metadata=True)" + ] + }, + { + "cell_type": "markdown", + "id": "383d6971", + "metadata": { + "id": "383d6971" + }, + "source": [ + "#### After we have defined and gathered our data let's add it to cognee" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "904df61ba484a8e5", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:54.243987Z", + "start_time": "2024-09-20T14:02:52.498195Z" + }, + "id": "904df61ba484a8e5" + }, + "outputs": [], + "source": [ + "import cognee\n", + "\n", + "await cognee.add([job_1, job_2, job_3, job_4, job_5, job_position], \"example\")" + ] + }, + { + "cell_type": "markdown", + "id": "0f15c5b1", + "metadata": { + "id": "0f15c5b1" + }, + "source": [ + "#### All good, let's cognify it." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7c431fdef4921ae0", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:57.925667Z", + "start_time": "2024-09-20T14:02:57.922353Z" + }, + "id": "7c431fdef4921ae0" + }, + "outputs": [], + "source": [ + "from cognee.shared.data_models import KnowledgeGraph\n", + "from cognee.modules.data.models import Dataset, Data\n", + "from cognee.modules.data.methods.get_dataset_data import get_dataset_data\n", + "from cognee.modules.cognify.config import get_cognify_config\n", + "from cognee.modules.pipelines.tasks.Task import Task\n", + "from cognee.modules.pipelines import run_tasks, run_tasks_parallel\n", + "from cognee.modules.users.models import User\n", + "from cognee.tasks.summarization import summarize_text\n", + "from cognee.tasks import (\n", + " chunk_remove_disconnected,\n", + " infer_data_ontology,\n", + " save_chunks_to_store,\n", + " chunk_update_check,\n", + " chunks_into_graph,\n", + " source_documents_to_chunks,\n", + " check_permissions_on_documents,\n", + " classify_documents,\n", + " chunk_naive_llm_classifier,\n", + ")\n", + "\n", + "\n", + "async def run_cognify_pipeline(dataset: Dataset, user: User = None):\n", + " data_documents: list[Data] = await get_dataset_data(dataset_id=dataset.id)\n", + "\n", + " try:\n", + " root_node_id = None\n", + "\n", + " cognee_config = get_cognify_config()\n", + "\n", + " tasks = [\n", + " Task(classify_documents),\n", + " Task(check_permissions_on_documents, user=user, permissions=[\"write\"]),\n", + " Task(\n", + " infer_data_ontology,\n", + " root_node_id=root_node_id,\n", + " ontology_model=KnowledgeGraph,\n", + " ),\n", + " Task(\n", + " source_documents_to_chunks, chunk_size=800, parent_node_id=root_node_id\n", + " ), # Classify documents and save them as a nodes in graph db, extract text chunks based on the document type\n", + " Task(\n", + " chunks_into_graph,\n", + " graph_model=KnowledgeGraph,\n", + " collection_name=\"entities\",\n", + " task_config={\"batch_size\": 10},\n", + " ), # Generate knowledge graphs from the document chunks and attach it to chunk nodes\n", + " Task(\n", + " chunk_update_check, collection_name=\"chunks\"\n", + " ), # Find all affected chunks, so we don't process unchanged chunks\n", + " Task(\n", + " save_chunks_to_store,\n", + " collection_name=\"chunks\",\n", + " ),\n", + " Task(\n", + " summarize_text,\n", + " summarization_model=cognee_config.summarization_model,\n", + " collection_name=\"summaries\",\n", + " ),\n", + " Task(\n", + " chunk_naive_llm_classifier,\n", + " classification_model=cognee_config.classification_model,\n", + " ),\n", + " Task(chunk_remove_disconnected), # Remove the obsolete document chunks.\n", + " ]\n", + "\n", + " pipeline = run_tasks(tasks, data_documents)\n", + "\n", + " async for result in pipeline:\n", + " print(result)\n", + " except Exception as error:\n", + " raise error" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f0a91b99c6215e09", + "metadata": { + "ExecuteTime": { + "end_time": "2024-09-20T14:02:58.905774Z", + "start_time": "2024-09-20T14:02:58.625915Z" + }, + "id": "f0a91b99c6215e09" + }, + "outputs": [], + "source": [ + "from cognee.modules.users.methods import get_default_user\n", + "from cognee.modules.data.methods import get_datasets_by_name\n", + "\n", + "user = await get_default_user()\n", + "\n", + "datasets = await get_datasets_by_name([\"example\"], user.id)\n", + "\n", + "await run_cognify_pipeline(datasets[0], user)" + ] + }, + { + "cell_type": "markdown", + "id": "219a6d41", + "metadata": { + "id": "219a6d41" + }, + "source": [ + "#### We get the url to the graph on graphistry in the notebook cell bellow, showing nodes and connections made by the cognify process." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "080389e5", + "metadata": { + "id": "080389e5" + }, + "outputs": [], + "source": [ + "import os\n", + "from cognee.shared.utils import render_graph\n", + "from cognee.infrastructure.databases.graph import get_graph_engine\n", + "import graphistry\n", + "\n", + "graphistry.login(\n", + " username=os.getenv(\"GRAPHISTRY_USERNAME\"), password=os.getenv(\"GRAPHISTRY_PASSWORD\")\n", + ")\n", + "\n", + "graph_engine = await get_graph_engine()\n", + "\n", + "graph_url = await render_graph(graph_engine.graph)\n", + "print(graph_url)" + ] + }, + { + "cell_type": "markdown", + "id": "59e6c3c3", + "metadata": { + "id": "59e6c3c3" + }, + "source": [ + "#### We can also do a search on the data to explore the knowledge." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5e7dfc8", + "metadata": { + "id": "e5e7dfc8" + }, + "outputs": [], + "source": [ + "async def search(\n", + " vector_engine,\n", + " collection_name: str,\n", + " query_text: str = None,\n", + "):\n", + " query_vector = (await vector_engine.embedding_engine.embed_text([query_text]))[0]\n", + "\n", + " connection = await vector_engine.get_connection()\n", + " collection = await connection.open_table(collection_name)\n", + "\n", + " results = await collection.vector_search(query_vector).limit(10).to_pandas()\n", + "\n", + " result_values = list(results.to_dict(\"index\").values())\n", + "\n", + " return [\n", + " dict(\n", + " id=str(result[\"id\"]),\n", + " payload=result[\"payload\"],\n", + " score=result[\"_distance\"],\n", + " )\n", + " for result in result_values\n", + " ]\n", + "\n", + "\n", + "from cognee.infrastructure.databases.vector import get_vector_engine\n", + "\n", + "vector_engine = get_vector_engine()\n", + "results = await search(vector_engine, \"entities\", \"sarah.nguyen@example.com\")\n", + "for result in results:\n", + " print(result)" + ] + }, + { + "cell_type": "markdown", + "source": [ + "#### We normalize search output scores so the lower the score of the search result is the higher the chance that it's what you're looking for. In the example above we have searched for node entities in the knowledge graph related to \"sarah.nguyen@example.com\"" + ], + "metadata": { + "id": "F4s9pJyqhgtP" + }, + "id": "F4s9pJyqhgtP" + }, + { + "cell_type": "markdown", + "source": [ + "#### In the example bellow we'll use cognee search to summarize information regarding the node most related to \"sarah.nguyen@example.com\" in the knowledge graph" + ], + "metadata": { + "id": "v3KZN1J38g9c" + }, + "id": "v3KZN1J38g9c" + }, + { + "cell_type": "code", + "source": [ + "from cognee.api.v1.search import SearchType\n", + "\n", + "node = (await vector_engine.search(\"entities\", \"sarah.nguyen@example.com\"))[0]\n", + "node_name = node.payload[\"name\"]\n", + "\n", + "search_results = await cognee.search(SearchType.SUMMARIES, query=node_name)\n", + "print(\"\\n\\nExtracted summaries are:\\n\")\n", + "for result in search_results:\n", + " print(f\"{result}\\n\")" + ], + "metadata": { + "id": "o9Cdt1IF8jjH" + }, + "id": "o9Cdt1IF8jjH", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "#### In this example we'll use cognee search to find chunks in which the node most related to \"sarah.nguyen@example.com\" is a part of" + ], + "metadata": { + "id": "JiqylD3K8n3_" + }, + "id": "JiqylD3K8n3_" + }, + { + "cell_type": "code", + "source": [ + "search_results = await cognee.search(SearchType.CHUNKS, query=node_name)\n", + "print(\"\\n\\nExtracted chunks are:\\n\")\n", + "for result in search_results:\n", + " print(f\"{result}\\n\")" + ], + "metadata": { + "id": "j54MkQxQ8nBg" + }, + "id": "j54MkQxQ8nBg", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "#### In this example we'll use cognee search to give us insights from the knowledge graph related to the node most related to \"sarah.nguyen@example.com\"" + ], + "metadata": { + "id": "zBeVLjubFrOI" + }, + "id": "zBeVLjubFrOI" + }, + { + "cell_type": "code", + "source": [ + "search_results = await cognee.search(SearchType.INSIGHTS, query=node_name)\n", + "print(\"\\n\\nExtracted insights are:\\n\")\n", + "for result in search_results:\n", + " print(f\"{result}\\n\")" + ], + "metadata": { + "id": "0FSaecZ-FrzF" + }, + "id": "0FSaecZ-FrzF", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "#### Bellow is a diagram of the cognee process for the data used in this example notebook" + ], + "metadata": { + "id": "4W1W_Om880Db" + }, + "id": "4W1W_Om880Db" + }, + { + "cell_type": "markdown", + "source": [ + "![cognee_final.drawio.png](data:image/png;base64,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)" + ], + "metadata": { + "id": "2gpysOFT816c" + }, + "id": "2gpysOFT816c" + }, + { + "cell_type": "markdown", + "id": "288ab570", + "metadata": { + "id": "288ab570" + }, + "source": [ + "## Give us a star if you like it!\n", + "https://github.com/topoteretes/cognee" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cognee-bGi0WgSG-py3.9", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.5" + }, + "colab": { + "provenance": [] + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/tutorials/cli-sdk-to-convert-image-datasets-to-lance/convert-any-image-dataset-to-lance.py b/tutorials/cli-sdk-to-convert-image-datasets-to-lance/convert-any-image-dataset-to-lance.py index 10cec49..be2a853 100644 --- a/tutorials/cli-sdk-to-convert-image-datasets-to-lance/convert-any-image-dataset-to-lance.py +++ b/tutorials/cli-sdk-to-convert-image-datasets-to-lance/convert-any-image-dataset-to-lance.py @@ -6,20 +6,22 @@ import time from tqdm import tqdm -def process_images(images_folder, split, schema): +def process_images(images_folder, split, schema): # Iterate over the categories within each data type label_folder = os.path.join(images_folder, split) for label in os.listdir(label_folder): label_folder = os.path.join(images_folder, split, label) - + # Iterate over the images within each label - for filename in tqdm(os.listdir(label_folder), desc=f"Processing {split} - {label}"): + for filename in tqdm( + os.listdir(label_folder), desc=f"Processing {split} - {label}" + ): # Construct the full path to the image image_path = os.path.join(label_folder, filename) # Read and convert the image to a binary format - with open(image_path, 'rb') as f: + with open(image_path, "rb") as f: binary_data = f.read() image_array = pa.array([binary_data], type=pa.binary()) @@ -29,69 +31,84 @@ def process_images(images_folder, split, schema): # Yield RecordBatch for each image yield pa.RecordBatch.from_arrays( - [image_array, filename_array, label_array, split_array], - schema=schema + [image_array, filename_array, label_array, split_array], schema=schema ) + # Function to write PyArrow Table to Lance dataset def write_to_lance(images_folder, dataset_name, schema): - for split in ['train', 'test', 'val']: + for split in ["train", "test", "val"]: lance_file_path = os.path.join(images_folder, f"{dataset_name}_{split}.lance") - - reader = pa.RecordBatchReader.from_batches(schema, process_images(images_folder, split, schema)) + + reader = pa.RecordBatchReader.from_batches( + schema, process_images(images_folder, split, schema) + ) lance.write_dataset( reader, lance_file_path, schema, ) + def loading_into_pandas(images_folder, dataset_name): data_frames = {} # Dictionary to store DataFrames for each data type - + batch_size = args.batch_size - for split in ['test', 'train', 'val']: + for split in ["test", "train", "val"]: uri = os.path.join(images_folder, f"{dataset_name}_{split}.lance") ds = lance.dataset(uri) # Accumulate data from batches into a list data = [] - for batch in tqdm(ds.to_batches(columns=["image", "filename", "label", "split"], batch_size=batch_size), desc=f"Loading {split} batches"): + for batch in tqdm( + ds.to_batches( + columns=["image", "filename", "label", "split"], batch_size=batch_size + ), + desc=f"Loading {split} batches", + ): tbl = batch.to_pandas() data.append(tbl) # Concatenate all DataFrames into a single DataFrame df = pd.concat(data, ignore_index=True) - + # Store the DataFrame in the dictionary data_frames[split] = df - + print(f"Pandas DataFrame for {split} is ready") print("Total Rows: ", df.shape[0]) - + return data_frames + if __name__ == "__main__": - parser = argparse.ArgumentParser(description='Process image dataset.') - parser.add_argument('--batch_size', type=int, default=10, help='Batch size for processing images') - parser.add_argument('--dataset', type=str, help='Path to the image dataset folder') - + parser = argparse.ArgumentParser(description="Process image dataset.") + parser.add_argument( + "--batch_size", type=int, default=10, help="Batch size for processing images" + ) + parser.add_argument("--dataset", type=str, help="Path to the image dataset folder") + try: args = parser.parse_args() dataset_path = args.dataset if dataset_path is None: - raise ValueError("Please provide the path to the image dataset folder using the --dataset argument.") - + raise ValueError( + "Please provide the path to the image dataset folder using the --dataset argument." + ) + # Extract dataset name dataset_name = os.path.basename(dataset_path) start = time.time() - schema = pa.schema([ - pa.field("image", pa.binary()), - pa.field("filename", pa.string()), - pa.field("label", pa.string()), - pa.field("split", pa.string()) - ]) + schema = pa.schema( + [ + pa.field("image", pa.binary()), + pa.field("filename", pa.string()), + pa.field("label", pa.string()), + pa.field("split", pa.string()), + ] + ) write_to_lance(dataset_path, dataset_name, schema) data_frames = loading_into_pandas(dataset_path, dataset_name) end = time.time() @@ -100,7 +117,9 @@ def loading_into_pandas(images_folder, dataset_name): except ValueError as e: print(e) print("Example:") - print("python3 convert-any-image-dataset-to-lance.py --batch_size 10 --dataset image_dataset_folder") + print( + "python3 convert-any-image-dataset-to-lance.py --batch_size 10 --dataset image_dataset_folder" + ) exit(1) except FileNotFoundError: diff --git a/tutorials/cli-sdk-to-convert-image-datasets-to-lance/main.ipynb b/tutorials/cli-sdk-to-convert-image-datasets-to-lance/main.ipynb index eabdd1e..a5be18c 100644 --- a/tutorials/cli-sdk-to-convert-image-datasets-to-lance/main.ipynb +++ b/tutorials/cli-sdk-to-convert-image-datasets-to-lance/main.ipynb @@ -1,232 +1,246 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "UByKm8Q6dCEB" - }, - "source": [ - "### Imports" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "J8jICxVldCEC" - }, - "outputs": [], - "source": [ - "import os\n", - "import pandas as pd\n", - "import pyarrow as pa\n", - "import lance\n", - "import time\n", - "from tqdm import tqdm\n", - "\n", - "import warnings\n", - "warnings.simplefilter('ignore')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "AfUoIr4TdCEF" - }, - "source": [ - "### Set the variable according to your Image dataset\n", - "\n", - "Assign the path to your image dataset to the variable `image_dataset`. This dataset should contain your images organized into training, testing, and validation folders. These images will be used to convert them into Lance format.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "5JvY3ucxdCEF" - }, - "outputs": [], - "source": [ - "image_dataset = \"image_dataset\"" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "4ULduqF2dCEG" - }, - "source": [ - "### Processing the Images\n", - "\n", - "The `process_images` function is the central component of this notebook, responsible for transforming images from the training, testing, and validation folders into Lance format. This format typically includes essential attributes such as `image`, `filename`, `category`, and `data_type`.\n", - "\n", - "Specifically, `image` represents the actual image data, `filename` denotes the name of the file, `category` indicates the category to which the image belongs, and `data_type` specifies whether the image is from the training, testing, or validation set." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "S1wX3JVmdCEG" - }, - "outputs": [], - "source": [ - "def process_images():\n", - " # Get the current directory path\n", - " current_dir = os.getcwd()\n", - " images_folder = os.path.join(current_dir, image_dataset)\n", - " print(images_folder)\n", - "\n", - " # Define schema for RecordBatch\n", - " schema = pa.schema([('image', pa.binary()),\n", - " ('filename', pa.string()),\n", - " ('category', pa.string()),\n", - " ('data_type', pa.string())])\n", - "\n", - " # Iterate over the data types (train, test, valid)\n", - " for data_type in ['train', 'test', 'val']:\n", - " data_type_folder = os.path.join(images_folder, data_type)\n", - "\n", - " # Iterate over the categories within each data type\n", - " for category in os.listdir(data_type_folder):\n", - " category_folder = os.path.join(data_type_folder, category)\n", - "\n", - " # Iterate over the images within each category\n", - " for filename in tqdm(os.listdir(category_folder), desc=f\"Processing {data_type} - {category}\"):\n", - " # Construct the full path to the image\n", - " image_path = os.path.join(category_folder, filename)\n", - "\n", - " # Read and convert the image to a binary format\n", - " with open(image_path, 'rb') as f:\n", - " binary_data = f.read()\n", - "\n", - " image_array = pa.array([binary_data], type=pa.binary())\n", - " filename_array = pa.array([filename], type=pa.string())\n", - " category_array = pa.array([category], type=pa.string())\n", - " data_type_array = pa.array([data_type], type=pa.string())\n", - "\n", - " # Yield RecordBatch for each image\n", - " yield pa.RecordBatch.from_arrays(\n", - " [image_array, filename_array, category_array, data_type_array],\n", - " schema=schema\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Gcc4JvAYdCEI" - }, - "source": [ - "### Creating a Lance Dataset\n", - "\n", - "This function, `write_to_lance`, is designed to convert a PyArrow Table into a Lance dataset. It begins by defining the schema for the Lance dataset, specifying fields such as `image`, `filename`, `category`, and `data_type` , make sure the schema is the same as the one defined in the `process_images` function.\n", - "\n", - "Once the schema is established, the function determines the path for saving the Lance file, leveraging the current working directory and the provided `image_dataset` variable. It then initializes a RecordBatchReader using the defined schema and the data obtained from the `process_images` function." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "IhfZI177dCEJ" - }, - "outputs": [], - "source": [ - "# Function to write PyArrow Table to Lance dataset\n", - "def write_to_lance():\n", - " # Create an empty RecordBatchIterator\n", - " schema = pa.schema([\n", - " pa.field(\"image\", pa.binary()),\n", - " pa.field(\"filename\", pa.string()),\n", - " pa.field(\"category\", pa.string()),\n", - " pa.field(\"data_type\", pa.string())\n", - " ])\n", - "\n", - " # Specify the path where you want to save the Lance file\n", - " current_dir = os.getcwd()\n", - " images_folder = os.path.join(current_dir, image_dataset)\n", - " lance_file_path = os.path.join(images_folder, f\"{image_dataset}.lance\")\n", - "\n", - " reader = pa.RecordBatchReader.from_batches(schema, process_images())\n", - " lance.write_dataset(\n", - " reader,\n", - " lance_file_path,\n", - " schema,\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "tW9GeYJddCEL" - }, - "source": [ - "### Load a Lance Dataset and Visualize it in Pandas Dataframe" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "UQHGcmzPdCEO" - }, - "source": [ - "`loading_into_pandas` function is designed to load a Lance dataset into a Pandas dataframe. It let's you see your Lance dataset in a pandas dataframe.\n", - "\n", - "The function takes the path to the Lance file as an argument and returns a pandas dataframe. Make sure the schema is the same as the one defined during the Lance dataset generation, refer to `process_images` function and also make sure the path to the Lance file is correct." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "4wwa4FQmdCEP" - }, - "outputs": [], - "source": [ - "def loading_into_pandas():\n", - " # Load Lance file from the same folder\n", - " current_dir = os.getcwd()\n", - " images_folder = os.path.join(current_dir, image_dataset)\n", - " uri = os.path.join(images_folder, \"image_dataset.lance\")\n", - "\n", - " ds = lance.dataset(uri)\n", - "\n", - " # Accumulate data from batches into a list\n", - " data = []\n", - " for batch in tqdm(ds.to_batches(columns=[\"image\", \"filename\", \"category\", \"data_type\"], batch_size=10), desc=\"Loading batches\"):\n", - " tbl = batch.to_pandas()\n", - " data.append(tbl)\n", - "\n", - " # Concatenate all DataFrames into a single DataFrame\n", - " df = pd.concat(data, ignore_index=True)\n", - " print(\"Pandas DataFrame is ready\")\n", - " print(\"Total Rows: \", df.shape[0])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "env", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.2" - }, - "colab": { - "provenance": [] - } + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "UByKm8Q6dCEB" + }, + "source": [ + "### Imports" + ] }, - "nbformat": 4, - "nbformat_minor": 0 + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "J8jICxVldCEC" + }, + "outputs": [], + "source": [ + "import os\n", + "import pandas as pd\n", + "import pyarrow as pa\n", + "import lance\n", + "import time\n", + "from tqdm import tqdm\n", + "\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "AfUoIr4TdCEF" + }, + "source": [ + "### Set the variable according to your Image dataset\n", + "\n", + "Assign the path to your image dataset to the variable `image_dataset`. This dataset should contain your images organized into training, testing, and validation folders. These images will be used to convert them into Lance format.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "5JvY3ucxdCEF" + }, + "outputs": [], + "source": [ + "image_dataset = \"image_dataset\"" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4ULduqF2dCEG" + }, + "source": [ + "### Processing the Images\n", + "\n", + "The `process_images` function is the central component of this notebook, responsible for transforming images from the training, testing, and validation folders into Lance format. This format typically includes essential attributes such as `image`, `filename`, `category`, and `data_type`.\n", + "\n", + "Specifically, `image` represents the actual image data, `filename` denotes the name of the file, `category` indicates the category to which the image belongs, and `data_type` specifies whether the image is from the training, testing, or validation set." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "S1wX3JVmdCEG" + }, + "outputs": [], + "source": [ + "def process_images():\n", + " # Get the current directory path\n", + " current_dir = os.getcwd()\n", + " images_folder = os.path.join(current_dir, image_dataset)\n", + " print(images_folder)\n", + "\n", + " # Define schema for RecordBatch\n", + " schema = pa.schema(\n", + " [\n", + " (\"image\", pa.binary()),\n", + " (\"filename\", pa.string()),\n", + " (\"category\", pa.string()),\n", + " (\"data_type\", pa.string()),\n", + " ]\n", + " )\n", + "\n", + " # Iterate over the data types (train, test, valid)\n", + " for data_type in [\"train\", \"test\", \"val\"]:\n", + " data_type_folder = os.path.join(images_folder, data_type)\n", + "\n", + " # Iterate over the categories within each data type\n", + " for category in os.listdir(data_type_folder):\n", + " category_folder = os.path.join(data_type_folder, category)\n", + "\n", + " # Iterate over the images within each category\n", + " for filename in tqdm(\n", + " os.listdir(category_folder), desc=f\"Processing {data_type} - {category}\"\n", + " ):\n", + " # Construct the full path to the image\n", + " image_path = os.path.join(category_folder, filename)\n", + "\n", + " # Read and convert the image to a binary format\n", + " with open(image_path, \"rb\") as f:\n", + " binary_data = f.read()\n", + "\n", + " image_array = pa.array([binary_data], type=pa.binary())\n", + " filename_array = pa.array([filename], type=pa.string())\n", + " category_array = pa.array([category], type=pa.string())\n", + " data_type_array = pa.array([data_type], type=pa.string())\n", + "\n", + " # Yield RecordBatch for each image\n", + " yield pa.RecordBatch.from_arrays(\n", + " [image_array, filename_array, category_array, data_type_array],\n", + " schema=schema,\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Gcc4JvAYdCEI" + }, + "source": [ + "### Creating a Lance Dataset\n", + "\n", + "This function, `write_to_lance`, is designed to convert a PyArrow Table into a Lance dataset. It begins by defining the schema for the Lance dataset, specifying fields such as `image`, `filename`, `category`, and `data_type` , make sure the schema is the same as the one defined in the `process_images` function.\n", + "\n", + "Once the schema is established, the function determines the path for saving the Lance file, leveraging the current working directory and the provided `image_dataset` variable. It then initializes a RecordBatchReader using the defined schema and the data obtained from the `process_images` function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "IhfZI177dCEJ" + }, + "outputs": [], + "source": [ + "# Function to write PyArrow Table to Lance dataset\n", + "def write_to_lance():\n", + " # Create an empty RecordBatchIterator\n", + " schema = pa.schema(\n", + " [\n", + " pa.field(\"image\", pa.binary()),\n", + " pa.field(\"filename\", pa.string()),\n", + " pa.field(\"category\", pa.string()),\n", + " pa.field(\"data_type\", pa.string()),\n", + " ]\n", + " )\n", + "\n", + " # Specify the path where you want to save the Lance file\n", + " current_dir = os.getcwd()\n", + " images_folder = os.path.join(current_dir, image_dataset)\n", + " lance_file_path = os.path.join(images_folder, f\"{image_dataset}.lance\")\n", + "\n", + " reader = pa.RecordBatchReader.from_batches(schema, process_images())\n", + " lance.write_dataset(\n", + " reader,\n", + " lance_file_path,\n", + " schema,\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "tW9GeYJddCEL" + }, + "source": [ + "### Load a Lance Dataset and Visualize it in Pandas Dataframe" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UQHGcmzPdCEO" + }, + "source": [ + "`loading_into_pandas` function is designed to load a Lance dataset into a Pandas dataframe. It let's you see your Lance dataset in a pandas dataframe.\n", + "\n", + "The function takes the path to the Lance file as an argument and returns a pandas dataframe. Make sure the schema is the same as the one defined during the Lance dataset generation, refer to `process_images` function and also make sure the path to the Lance file is correct." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "4wwa4FQmdCEP" + }, + "outputs": [], + "source": [ + "def loading_into_pandas():\n", + " # Load Lance file from the same folder\n", + " current_dir = os.getcwd()\n", + " images_folder = os.path.join(current_dir, image_dataset)\n", + " uri = os.path.join(images_folder, \"image_dataset.lance\")\n", + "\n", + " ds = lance.dataset(uri)\n", + "\n", + " # Accumulate data from batches into a list\n", + " data = []\n", + " for batch in tqdm(\n", + " ds.to_batches(\n", + " columns=[\"image\", \"filename\", \"category\", \"data_type\"], batch_size=10\n", + " ),\n", + " desc=\"Loading batches\",\n", + " ):\n", + " tbl = batch.to_pandas()\n", + " data.append(tbl)\n", + "\n", + " # Concatenate all DataFrames into a single DataFrame\n", + " df = pd.concat(data, ignore_index=True)\n", + " print(\"Pandas DataFrame is ready\")\n", + " print(\"Total Rows: \", df.shape[0])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.2" + }, + "colab": { + "provenance": [] + } + }, + "nbformat": 4, + "nbformat_minor": 0 } \ No newline at end of file