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)
Show HN: I put PubMed in a vector DB
21–28 of 28 posts
Re: Show HN: I put PubMed in a vector DB
#22Re: Show HN: I put PubMed in a vector DB
#23Re: Show HN: I put PubMed in a vector DB
#24Edit: One suggestion: in the results list, please make the headings links to the articles, too.
Re: Show HN: I put PubMed in a vector DB
#25All 10 thumbs up! Edit: One suggestion: in the results list, please make the headings links to the articles, too.
Re: Show HN: I put PubMed in a vector DB
#26Very promising tool based on a couple of questions I asked it! How did the cleaning of documents look like?
Re: Show HN: I put PubMed in a vector DB
#27Earlier 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.
Re: Show HN: I put PubMed in a vector DB
#28Maybe a stupid question, but how do you compare this against GPT-based search engines?
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/.