# FAQ Bot – ChromaDB + MCP-tool

This project implements a simple FAQ bot that uses **ChromaDB** as the sole vector store and a single **Minimal Context‑Aware Prompt (MCP) tool** for prompt generation.

## Stack

- **ChromaDB** – vector database for storing and querying embeddings.
- **MCP-tool** – a lightweight function that creates a prompt from a user question.
- **Node.js** – runtime environment.
- **readline-sync** – simple CLI input.

## How it works

1. **Vector Store**  
   - `src/vectorStore.js` wraps ChromaDB.  
   - Documents are embedded using a deterministic 768‑dimensional vector derived from word hashes.  
   - The collection is created (or fetched) on startup.

2. **MCP-tool**  
   - `src/bot.js` contains `generatePrompt` which formats the user question into a prompt.  
   - The prompt is embedded and queried against the vector store.

3. **Bot Loop**  
   - `src/index.js` loads a small FAQ dataset, populates the collection, and starts a REPL loop.  
   - User input is processed, the best matching FAQ answer is returned.

## Running the bot

```bash
npm install
npm start
```

Type a question and press Enter. Type `exit` to quit.

## Notes

- Only **ChromaDB** is used for vector operations; no other vector store libraries are present.
- Only **one MCP-tool** (`generatePrompt`) is integrated.
- The code is fully self‑contained and can be extended with real embeddings or a larger dataset.

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