# 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`.