# FAQ Bot – ChromaDB + MCP Tool

## Overview

This repository contains a simple FAQ bot that answers questions about course materials using a local Chroma vector store and, when needed, calls a mock MCP‑style tool that returns course metadata.

The bot is built with **LangGraph** and **LangChain** and uses **Ollama** embeddings (`nomic-embed-text`).

## Prerequisites

* Python 3.10+
* Ollama server running locally with the `nomic-embed-text` model:
  ```bash
  ollama pull nomic-embed-text
  ```

## Installation

```bash
pip install -r requirements.txt
```

## Running the Bot

```bash
python main.py
```

You will be prompted to enter a question.  The bot will decide whether to answer from the FAQ documents (Chroma) or to call the mock MCP tool.

## FAQ Files

The `data/` directory contains three example Markdown files that are loaded into the vector store.

## MCP‑style Tool

The tool `fetch_course_meta` simulates an external MCP call by reading a local `course_meta.json` file.  In a real deployment this would be an HTTP request to an MCP server.

## License

MIT