# FAQ Bot with ChromaDB

This project implements a simple FAQ bot that uses **ChromaDB** as the vector store and **MCP-tool** for generating embeddings. The bot indexes a set of FAQ entries and can answer user questions by retrieving the most relevant entries from the vector store.

## Architecture

- **ChromaDB** – the sole vector storage stack used for persisting embeddings and performing similarity queries.
- **MCP-tool** – the only MCP-tool used for generating embeddings from text. No other vector store libraries or MCP-tools are included.

## Setup

```bash
# Install dependencies
npm install

# Run the bot
npm start
```

## How It Works

1. **VectorStore**  
   - Connects to a local ChromaDB instance.  
   - Adds documents with embeddings generated by MCP-tool.  
   - Queries the collection for the top‑k most similar documents.  

2. **Bot**  
   - Initializes the vector store.  
   - Indexes a predefined list of FAQs.  
   - Answers user questions by querying the vector store and returning the top results.

## Example

Running the bot will output:

```
Answer:
 What is ChromaDB?
ChromaDB is a vector database designed for storing and querying embeddings efficiently.
---
How do I use MCP-tool?
MCP-tool is a utility that generates embeddings from text using a chosen model.
```

Feel free to extend the FAQ list or integrate the bot into a larger application.