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Show HN: I put PubMed in a vector DB

pubmedisearch.com

21–28 of 28 posts

Re: Show HN: I put PubMed in a vector DB

#21
post #19
post #17

Earlier quoted context omitted.

Did you compare pinecone against pgvector with Postgres? Self hosted of course

Isn't it funny how the best Choice somehow always comes back to Postgres in the end XD (for most)

Yes, that’s where I’m these days. I don’t even think of venturing outside of Postgres these days, except for say things like Redis etc. where there are mature and established options for specific use cases.

Re: Show HN: I put PubMed in a vector DB

#27
post #21
post #19

Earlier quoted context omitted.

Isn't it funny how the best Choice somehow always comes back to Postgres in the end XD (for most)

Yes, that’s where I’m these days. I don’t even think of venturing outside of Postgres these days, except for say things like Redis etc. where there are mature and established options for specific use cases.

Will definitely check pgvector, thanks for the pointer.

Re: Show HN: I put PubMed in a vector DB

#28

Maybe a stupid question, but how do you compare this against GPT-based search engines?

GPT-based search engines usually use some sort of a database to retrieve context for the LLM to summarize first. This is what people refer to as RAG these days: https://blogs.nvidia.com/blog/what-is-retrieval-augmented-ge....

Some of these GPT engines maintain their own vector DB to do semantic search, others are directly hooked into Bing / Google. So pubmedisearch.com would be one component of a GPT-based engine. We actually have a GPT-based engine here: https://medisearch.io/.

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