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# task-6a1d75c5fd30e81cf3126ae7
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# FAQ Bot – ChromaDB + MCP Tool
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## Overview
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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.
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The bot is built with **LangGraph** and **LangChain** and uses **Ollama** embeddings (`nomic-embed-text`).
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## Prerequisites
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* Python 3.10+
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* Ollama server running locally with the `nomic-embed-text` model:
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```bash
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ollama pull nomic-embed-text
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```
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## Installation
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```bash
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pip install -r requirements.txt
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```
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## Running the Bot
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```bash
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python main.py
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```
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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.
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## FAQ Files
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The `data/` directory contains three example Markdown files that are loaded into the vector store.
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## MCP‑style Tool
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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.
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## License
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MIT
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