povtornyy-ekzamen-faq-bot-chromadb-odin-/README.md

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

# 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.