FAQ Bot – ChromaDB + MCP‑style Tool

This repository implements a small FAQ bot that answers questions about a course. The bot uses:

• ChromaDB (via langchain_chroma) for local semantic search over markdown notes.
• Ollama embeddings (nomic-embed-text) and a local LLM (llama3).
• A single MCP‑style tool that mimics a metadata service.
• A LangChain agent that routes queries to the correct tool and tags the answer with a source.

The bot is launched from the command line and offers three preset questions (two for the FAQ store, one for metadata) as well as an interactive mode.

Setup

# Pull the required Ollama model
ollama pull nomic-embed-text
ollama pull llama3

# Install dependencies
pip install -r requirements.txt

Running the bot

python main.py

You will see three preset questions. Type the number or a custom question and press Enter. Type /quit to exit.

Project structure

├── data/                     # Markdown FAQ files and static metadata JSON
├── config.py                 # Configuration constants
├── chunker.py                # Text chunking helper
├── vector_store.py           # Chroma store and search tool
├── tools.py                  # LangChain tools (search + MCP‑style)
├── main.py                   # Entry point & CLI
├── requirements.txt
└── README.md

License

MIT