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.