Update README.md

README.md

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----
-title: Interviewtask
-emoji: 🚀
-colorFrom: red
-colorTo: red
-sdk: docker
-app_port: 8501
-tags:
-- streamlit
-pinned: false
-short_description: Streamlit template space
----
+Project: AI Agent with RAG using LangGraph
 
-# Welcome to Streamlit!
+Steps to Run:
+1. Install requirements:
+   pip install -r requirements.txt
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+2. Add your OpenAI API key in agent_rag.py
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+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.