🔄 Corrective RAG Agent

A sophisticated Retrieval-Augmented Generation (RAG) system that implements a corrective multi-stage workflow using LangGraph. This system combines document retrieval, relevance grading, query transformation, and web search to provide comprehensive and accurate responses.

Features

• Smart Document Retrieval: Uses Qdrant vector store for efficient document retrieval
• Document Relevance Grading: Employs Claude 4.5 sonnet to assess document relevance
• Query Transformation: Improves search results by optimizing queries when needed
• Web Search Fallback: Uses Tavily API for web search when local documents aren't sufficient
• Multi-Model Approach: Combines OpenAI embeddings and Claude 4.5 sonnet for different tasks
• Interactive UI: Built with Streamlit for easy document upload and querying

How to Run?

1. Clone the Repository:

   git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
   cd rag_tutorials/corrective_rag
   

2. Install Dependencies:

   pip install -r requirements.txt
   

3. Set Up API Keys: You'll need to obtain the following API keys:

   • OpenAI API key (for embeddings)
   • Anthropic API key (for Claude 4.5 sonnet as LLM)
   • Tavily API key (for web search)
   • Qdrant Cloud Setup
     1. Visit Qdrant Cloud
     2. Create an account or sign in
     3. Create a new cluster
     4. Get your credentials:
        • Qdrant API Key: Found in API Keys section
        • Qdrant URL: Your cluster URL (format: https://xxx-xxx.aws.cloud.qdrant.io)

4. Run the Application:

   streamlit run corrective_rag.py
   

5. Use the Application:

   • Upload documents or provide URLs
   • Enter your questions in the query box
   • View the step-by-step Corrective RAG process
   • Get comprehensive answers

Tech Stack

• LangChain: For RAG orchestration and chains
• LangGraph: For workflow management
• Qdrant: Vector database for document storage
• Claude 4.5 sonnet: Main language model for analysis and generation
• OpenAI: For document embeddings
• Tavily: For web search capabilities
• Streamlit: For the user interface