# FAQ Bot – ChromaDB + MCP‑tool

## What it does

* Loads a small set of markdown FAQ files into a local Chroma vector store.
* Provides a single MCP‑style tool `fetch_course_meta` that returns course metadata from a static JSON file.
* Uses a LangGraph React agent that routes a user question either to the vector store (Chroma) or to the MCP tool based on simple keyword detection.
* Interactive CLI with three example questions and a free‑form mode.

## Prerequisites

* Python 3.10+
* Ollama 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
```

The script will:
1. Load `data/*.md` into Chroma.
2. Build the agent.
3. Run three sample questions.
4. Enter an interactive prompt.

## Files

* `main.py` – entry point.
* `data/*.md` – FAQ documents.
* `mock_meta.json` – static metadata used by the MCP tool.
* `requirements.txt` – dependencies.