README.md

Project: AI Agent with RAG using LangGraph

Steps to Run:

1. Install requirements: pip install -r requirements.txt

2. Add your OpenAI API key in agent_rag.py

3. Add knowledge.txt with domain content

4. Run: python agent_rag.py

Agent Overview: The agent follows a 4-stage workflow using LangGraph: Plan → Retrieve → Answer → Reflect. It uses ChromaDB for vector storage and OpenAI for embeddings and generation.