In the world of vector databases, it seems like there are countless options available. But when will we reach the point of having too many choices? While the field can be overwhelming, the real challenge lies in solving the problems surrounding vector retrieval. There are issues like intent classification, inference and reranking, diversity, and lexical retrieval that need to be addressed. Additionally, new ways of interacting with data and evaluating quality of context are still being developed. Despite this, there is a need for a focused space to rethink retrieval problems and come up with solutions. The future may see the emergence of new search engines that incorporate AI and chat experiences.
https://softwaredoug.com/blog/2024/01/24/are-we-at-peak-vector-db