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?
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.