Vector Database POC

What it is

• Development environment using Devcontainers

• Stores document embeddings in ChromaDB

• Retrieves relevant documents for a given query

• Generates answers using Ollama

Getting started

Download some models

ollama pull mxbai-embed-large # Used for embeddings
ollama pull gemma3 # Used as LLM

Download python depedencies

pip install -r requirements.txt

Run

First you need to seed the database with a few documents

python script.py seed

And then you can do your search

python script.py search --query "How does AI change industries?"

Roadmap

• Streaming responses (for real-time chat)

• Metadata filtering (e.g., retrieving only recent docs)

• Improved ranking (reranking results for better accuracy)