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?
Locality sensitive hashing gets you fast multidimensional retrieval on traditional databases, so vector databases aren’t important unless you need to detect similarity in feature space. I thought vector databases were important until I learned about LSH because I assumed high dimensional retrieval was slow and not exploiting concentration of measure.