this post was submitted on 15 Nov 2023
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Machine Learning

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I have been working on a presentation that sums up the main points why vector databases are often an unnecessary optimization that's too often being promoted by vector database vendors. The slides are available here: https://vec3.ai/

Do you think vector databases are overrated?
In what instances have vector databases proved most useful in your projects, and were they commercial implementations?

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[–] AppropriateIf@alien.top 1 points 1 year ago

Interesting slides. Your last bit about letting LLMs do keyword search makes a lot of sense and feels related to HyDE which might be considered to be “letting LLMs do semantic vector search”. https://github.com/texttron/hyde

Calls back to openai’s experiments with webGPT - no semantic vectors involved.