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# task-6a1d75c5fd30e81cf3126ae7 # 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 MCPstyle 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.
## MCPstyle 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