Ask HN: Interest in a pgvector-based RAG system library?
I built a RAG system using pgvector as the backend for local-first vector search. I've already extracted and open-sourced the text extraction component as Kreuzberg (https://github.com/Goldziher/kreuzberg), separate from my main business (https://grantflow.ai).
The core system is fairly generic and could work for many use cases with minimal changes. Before investing time in packaging it as a library, I'm curious:
- Would the HN community find value in a pgvector-based RAG library?
- What features would be most important to you?
- What belongs in open source vs. commercial offerings?
- What common pitfalls should be avoided?
I'd like to gauge if there's actual interest before publishing something nobody will use. So your Feedbacks are most welcome!
The core system is fairly generic and could work for many use cases with minimal changes. Before investing time in packaging it as a library, I'm curious:
- Would the HN community find value in a pgvector-based RAG library? - What features would be most important to you? - What belongs in open source vs. commercial offerings? - What common pitfalls should be avoided?
I'd like to gauge if there's actual interest before publishing something nobody will use. So your Feedbacks are most welcome!