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Just before Christmas I offer you this article on how the Meilisearch team implemented filtered #DiskAnn on arroy and integrated it in the engine 🎁
Wouldn't it be cool to do fast and relevant #hybridSearch?
https://blog.kerollmops.com/meilisearch-expands-search-power-with-arroy-s-filtered-disk-ann -
You all asked for it! I just released the second part of my blog series on Arroy: #DiskANN-inspired library. https://blog.kerollmops.com/multithreading-and-memory-mapping-refining-ann-performance-with-arroy
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Today, I want to discuss the beginning of our journey in building our homemade #DiskANN data structure and how we made it work on top of #lmdb. We were highly inspired by the @spotifyeng work. We made it safer, much faster and added a bunch of features to it. https://blog.kerollmops.com/spotify-inspired-elevating-meilisearch-with-hybrid-search-and-rust
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What if I tell you that Meilisearch is about to ship with a homemade #DiskANN vector store? Spotify/Annoy highly inspired our new library. Arroy allows you to do Approximate Nearest Neighbors search in hundreds of millions of vectors. https://github.com/meilisearch/arroy