# 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
```