3 ms·
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 y
by softwaredoug 2y 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/3lmrmzstias2s https://bsky.app/profile/softwaredoug.bsky.social/post/3lmrm...
- Kerollmops 2y agoMeilisearch 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-strengths-and-weaknesses https://blog.kerollmops.com/meilisearch-vs-qdrant-tradeoffs-...
- andre-z 2y ago"Slowness can arise from a misconfigured index or if filterable attributes aren't listed." ;)