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Which vector database should I use? A comparison cheatsheet

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Re: Which vector database should I use? A comparison cheatsheet

#62

Post by alfalfasprout »

hobofan wrote: post #17

That's not so much a comparison, as it is a collection of bland facts about each solution. Those facts may not even be a good basis for making a choice and it doesn't give any guidance on why each of them may be important. It also looses out on qualitative attributes that distinguish some of them from the others. E.g. Weaviate has a lot better DX (in my opinion) than any of the others as, as it handles integration of…

Agreed. Reads like it was written by a low parameter count LLM.

Re: Which vector database should I use? A comparison cheatsheet

#63

Post by cco »

shon wrote: post #36

* Shameless plug and a free ticket: Etienne Dilocker, The Co-founder/CTO of Weaviate and Ram Sriharsha, the VP of R&D at Pinecone are both presenting at The AI Conference. Lots of other smart people are presenting including Nazneen from Hugging Face, Harrison from Langchain, Jerry from Llamaindex, Ben the co-founder of Anthropic and many more. A hackathon is happening in the evening at the event as well. If you can't…

Appreciate the generosity!

Re: Which vector database should I use? A comparison cheatsheet

#65

Post by stormfather »

lysecret wrote: post #11

People are just automatically assuming that because we had this big leap in LLMs for chat responses, we would have an equivalent jump in LLMs for embedding based retrieval. And to my knowledge there is no evidence for that. Quite to the contrary the recent gzip paper (even if it was badly done) still shows that retrieval is a very different problem and LLMs are much less extraodinary than expected. In my mind the who…

I think a lot of the recent interest in embedding comes from the fact that it's so much more useful now. Now there is a way to usefully process natural language queries, and embedding is the way to retrieve related information in the course of processing the query.

Re: Which vector database should I use? A comparison cheatsheet

#66

Post by evgen »

alfalfasprout wrote: post #62
hobofan wrote: post #17

That's not so much a comparison, as it is a collection of bland facts about each solution. Those facts may not even be a good basis for making a choice and it doesn't give any guidance on why each of them may be important. It also looses out on qualitative attributes that distinguish some of them from the others. E.g. Weaviate has a lot better DX (in my opinion) than any of the others as, as it handles integration of…

Agreed. Reads like it was written by a low parameter count LLM.

And just like that I have my new favorite put-down for low-effort comments and mediocre posts. Thanks!

Re: Which vector database should I use? A comparison cheatsheet

#67

Post by roieki »

When thinking about a managed vs. unmanaged database, it's helpful to consider all the capabilities you'd have to take of yourself (vs. have them managed). For a complete list consider: https://www.pinecone.io/learn/vector-database/

Disclaimer: I'm the author (and work at Pinecone).

Re: Which vector database should I use? A comparison cheatsheet

#69

Post by esafak »

hobofan wrote: post #17

That's not so much a comparison, as it is a collection of bland facts about each solution. Those facts may not even be a good basis for making a choice and it doesn't give any guidance on why each of them may be important. It also looses out on qualitative attributes that distinguish some of them from the others. E.g. Weaviate has a lot better DX (in my opinion) than any of the others as, as it handles integration of…

This article is trash; no need to prevaricate.
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