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I imagine it's because there is a *massive* scramble to incorporate language models into existing applications and most of the time you need a vector database t
by killthebuddha 3y ago
I imagine it's because there is a *massive* scramble to incorporate language models into existing applications and most of the time you need a vector database to do that. As a proxy for understanding the scale of this scramble, ChatGPT is the fastest growing software product ever by a pretty substantial margin.
- next_xibalba 3y agoWithout a doubt LLMs are driving the interest in vector Dbs. More so, I am wondering how it is that Pinecone manages to land on the HN front page so frequently given the large number of alternatives (see all the other comments in this thread). It suggests to me a coordinated marketing effort (brigading, cronyism, etc.)
- killthebuddha 3y agoDefinitely maybe, but also I think pinecone is putting a lot of resources into devrel. For example, see their learning center [1] and examples [2]. Oh man, now I sound like I'm part of the brigading :) FWIW I recently evaluated pinecone and alternatives and decided not go with pinecone (pgvector). [1] https://www.pinecone.io/learn/ https://www.pinecone.io/learn/ [2] https://docs.pinecone.io/docs/examples https://docs.pinecone.io/docs/examples Having myself recently bootstrapped an understanding of language models et al, I would not be surprised if the pinecone learning center gets a lot of traffic.