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README.md

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+# RAG Agent with ChromaDB and Tavily
+
+This repository contains a simple RAG agent that uses **ChromaDB** as a local vector store and **Tavily** for web search. The agent can decide whether to answer from the local knowledge base or fetch fresh information from the internet.
+
+## Project structure
+- `vectorstore.py` – utilities for creating/loading ChromaDB and adding documents.
+- `tools.py` – two LangChain tools: local KB search and Tavily web search.
+- `agent.py` – agent creation with routing logic.
+- `main.py` – CLI chat loop.
+- `documents/` – folder with sample `.txt` or `.md` files for the knowledge base.
+- `requirements.txt` – dependencies (LangChain >1.0, chromadb, tavily-python, etc.).
+
+## Usage
+```bash
+# 1. Install dependencies
+pip install -r requirements.txt
+
+# 2. Set Tavily API key
+export TAVILY_API_KEY=your_key_here
+
+# 3. Load documents into ChromaDB (once)
+python load_docs.py
+
+# 4. Run the chat interface
+python main.py
+```