ML Vision Projects - Hands-On Meetup

In the third part of our series, we’ll dive into RAG with vector databases. We'll demonstrate how to create a vector database using Pinecone, integrate it into a RAG system, and perform retrieval-augmented generation on the stored data.

This session will build on our previous workshops (look at the readme to get up to speed):

• Basic RAG with local data (completed) https://github.com/12mv2/30min-rag-db
• Vector databases with Pinecone (completed) https://github.com/12mv2/30min-vector-db
• RAG with vector databases (this session)

All experience levels welcome!
Beginners will get step-by-step help setting up the repo and navigating tools like VS Code, while advanced users can focus on implementing the full pipeline and fine-tuning the vector database integration.
This is a relaxed, hands-on meetup—not a formal SIG or club. Come ready to learn, collaborate, and experiment with your own ML/vision projects.

Interested in presenting a future session?
Denhac members can coordinate via the `#ml-vision-projects` Slack channel. Non-members can speak to the organizers in person at the event. We’re always looking for new speakers to share practical ML/vision topics in a 30-minute workshop format.