softwaredoug 6 days ago

One thing to _always_ dig into is how your hybrid search solution filters the vector search index. This is not at all standardized, often overlooked, but when you want "top X most similar to query by embedding, but also in Y category/match Z search terms" its the core operation your hybrid search is doing

Here's a rollup of algorithms... https://bsky.app/profile/softwaredoug.bsky.social/post/3lmrm...

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Kerollmops 6 days ago

Meilisearch is faster when you reduce the dataset by filtering it. I wrote an article on this subject [1].

[1]: https://blog.kerollmops.com/meilisearch-vs-qdrant-tradeoffs-...

andre-z 6 days ago

"Slowness can arise from a misconfigured index or if filterable attributes aren't listed." ;)