Is it just me, or is vector search not particularly good? It seems like magic at first, but then you start rubbing into a bunch of issues: 1. Too much data wi

Is it just me, or is vector search not particularly good? It seems like magic at first, but then you start rubbing into a bunch of issues: 1. Too much data within a single vector (often even just a few sentences) makes it so that most vectors are very close to each other due to many overlapping concepts. 2. Searching over moderately sized corpus of documentation (e.g. a couple thousand pages of text) starts to degrade scoring (usually sure to the above issue) 3. Every model I've tried fails pretty regularly on named entities (e.g someone's name, a product, etc) unless it's pretty well known 4. Getting granular enough to see useful variance requires generating a ton of embeddings, which start to cause performance bottlenecks really quickly I've honestly had a lot more success with more traditional search methods. Edit for formatting