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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 automatically selects the appropriate source (local knowledge base or the web) based on the query.
+
+## Structure
+- `vectorstore.py` – utilities for creating and loading the vector store.
+- `tools.py` – LangChain tools for local and web search.
+- `agent.py` – agent definition with routing logic.
+- `main.py` – interactive CLI.
+- `init_db.py` – helper script to load documents from `documents/` into the vector store.
+- `requirements.txt` – dependencies.
+- `documents/` – folder with sample `.txt`/`.md` files.
+
+## Usage
+```bash
+# Install dependencies
+pip install -r requirements.txt
+
+# Load documents into the vector store
+python init_db.py
+
+# Run the chat interface
+python main.py
+```
+
+## Environment
+- `TAVILY_API_KEY` – required for web search.
+- `OLLAMA_BASE_URL` – optional, defaults to `http://localhost:11434`.