Mistral Cookbook

The Mistral Cookbook features examples contributed by Mistralers and our community, as well as our partners. If you have cool examples showcasing Mistral models, feel free to share them by submitting a PR to this repo.

Submission Guidelines:

• File Format: Please submit your example in the .md or .ipynb format.
• Runnable on Colab: If you're sharing a notebook example, try to make sure it's runnable on Google Colab.
• Authorship: Kindly include your name, your Github handle, and affiliation at the beginning of the file.
• Descriptions: Please include your notebook along with its category and descriptions in the table below.
• Tone: Kindly maintain a neural tone and minimize any excessive marketing materials.
• Reproducibility: To ensure others can reproduce your work, kindly tag package versions in your code.
• Image size: If you have images, please make sure each image's size is below 500KB.
• Copyright: Always respect copyright and intellectual property laws.

Disclaimer: Examples contributed by the community and partners do not represent Mistral's views and opinions.

Content Guidelines:

• Originality: Is your content original and offering a fresh perspective?
• Clear: Is your content well-structured and clearly written?
• Value: Is your content valuable to the community? Does the community need it?

Main Notebooks

Notebook	Category	Description
quickstart.ipynb	chat, embeddings	Basic quickstart with chat and embeddings with Mistral AI API
prompting_capabilities.ipynb	prompting	Write prompts for classification, summarization, personalization, and evaluation
basic_RAG.ipynb	RAG	RAG from scratch with Mistral AI API
embeddings.ipynb	embeddings	Use Mistral embeddings API for classification and clustering
function_calling.ipynb	function calling	Use Mistral API for function calling
evaluation.ipynb	evaluation	Evaluate models with Mistral API
mistral_finetune_api.ipynb	fine-tuning	Finetune a model with Mistral fine-tuning API
mistral-search-engine.ipynb	RAG, function calling	Search engine built with Mistral API, function calling and RAG
prefix_use_cases.ipynb	prefix, prompting	Cool examples with Mistral's prefix feature
synthetic_data_gen_and_finetune.ipynb	data generation, fine-tuning	Simple data generation and fine-tuning guide
data_generation_refining_news.ipynb	data generation	Simple data generation to refine news articles

Third Party Tools

Tools	Category	Party
CAMEL Graph RAG with Mistral Models	multi-agent, tool, data gen	CAMEL-AI.org
CAMEL Role-Playing Scraper	multi-agent, tool, data gen	CAMEL-AI.org
adaptive_rag_mistral.ipynb	RAG	Langchain
Adaptive_RAG.ipynb	RAG	LLamaIndex
Agents_Tools.ipynb	agent	LLamaIndex
arize_phoenix_tracing.ipynb	tracing data	Phoenix
azure_ai_search_rag.ipynb	RAG, embeddings	Azure
Chainlit - Mistral reasoning.ipynb	UI chat, tool calling	Chainlit
corrective_rag_mistral.ipynb	RAG	Langchain
distilabel_synthetic_dpo_dataset.ipynb	synthetic data	Argilla
E2B Code Interpreter SDK with Codestral	tool, agent	E2B
function_calling_local.ipynb	tool call	Ollama
Gradio Integration - Chat with PDF	UI chat, demo, RAG	Gradio
haystack_chat_with_docs.ipynb	RAG, embeddings	Haystack
Indexify Integration - PDF Entity Extraction	entity extraction, PDF	Indexify
Indexify Integration - PDF Summarization	summarization, PDF	Indexify
langgraph_code_assistant_mistral.ipynb	code	Langchain
langgraph_crag_mistral.ipynb	RAG	Langchain
llamaindex_agentic_rag.ipynb	RAG, agent	LLamaIndex
llamaindex_mistralai_finetuning.ipynb	fine-tuning	LLamaIndex
Microsoft Autogen - Function calling a pgsql db	Tool call, agent, RAG	Ms Autogen
Mesop Integration - Chat with PDF	UI chat, demo, RAG	Mesop
neon_text_to_sql.ipynb	code	Neon
ollama_mistral_llamaindex.ipynb	RAG	LLamaIndex
Ollama Meetup Demo	demo	Ollama
Panel Integration - Chat with PDF	UI chat, demo, RAG	Panel
pinecone_rag.ipynb	RAG	Pinecone
RAG.ipynb	RAG	LLamaIndex
RouterQueryEngine.ipynb	agent	LLamaIndex
self_rag_mistral.ipynb	RAG	Langchain
Streamlit Integration - Chat with PDF	UI chat, demo, RAG	Streamlit
SubQuestionQueryEngine.ipynb	agent	LLamaIndex
LLM Judge: Detecting hallucinations in language models	fine-tuning, evaluation	Weights & Biases