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readme.md

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+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.