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:

  ollama pull nomic-embed-text
  

Installation

pip install -r requirements.txt

Running the Bot

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