task-6a1d75c5fd30e81cf3126ae7/README.md

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:

  ollama pull nomic-embed-text
  

Installation

pip install -r requirements.txt

Running the bot

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.