[readyplayeremma]

I can also add one more data-point in favor of Elastic / OpenSearch. They benefit from a long history of providing search-specific features. Including the ability to write custom re-ranking functions to combine the benefits of traditional TF/IDF style search with the modern benefit of vector search techniques. And you can easily use OpenSearch with state of the art open embedding models like SGPT that use 2048-dimensional vectors. Plus, it is designed to be highly scalable and distributed.

Given how well OpenSearch works and scales, I would find it hard to justify a specialized vector-specific database unless it brought A LOT of new benefits to the table. And I am not currently aware how any of them would actually do that.

Also, OpenSearch provides all of that out-of-the-box. You just configure a vector field mapping and start inserting your data. No need for an add-on plugin/extension. It just works.

[vinni2]

Does OpenSearch support Kibana? Because I haven’t found a good Kibana replacement yet.