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

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

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.

---