Autonomous-HybridRAG-AI-Agent 🤖🌐🧠

Autonomous-HybridRAG-AI-Agent 🤖🌐🧠 is an intelligent assistant designed to efficiently handle user queries by leveraging various sources of information in a specific order. It combines memory, history, provided context, and web search to deliver accurate and relevant responses.

Features 🌟

1. Memory Search 🧠

   • Stores chat history in a database to facilitate long-term conversations.

2. Knowledge Base 📚

   • Stores information in a vector database, providing business context to the assistant.

3. Contextual Search 🔍

   • Searches the provided context for relevant information before resorting to web searches.

4. Web Search 🌐

   • Utilizes DuckDuckGo for web searches when information is not found in the memory, history, or context.

Usage Instructions 📋

1. Setup Assistant ⚙️

   • Configure the assistant with the desired LLM (Language Learning Model) and connect to the PostgreSQL database.

2. Add Documents 📄

   • Add documents to the knowledge base using the assistant’s document reading capabilities.

3. Query Assistant ❓

   • Query the assistant and receive responses based on the aggregated search from memory, knowledge base, context, and web search.

Code Overview 🖥️

• The code setup includes:
  • Initialization of the assistant.
  • Document reading and addition to the knowledge base.
  • Query execution and response generation.

My Contact Information 📧

Name	Email	LinkedIn	GitHub	Kaggle
Mustafa Shoukat	mustafashoukat.ai@gmail.com