#diskann — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #diskann, aggregated by home.social.
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In PostgreSQL managed services on Azure, you can index your embeddings with #pgvector or #DiskANN. I compared and explored DiskANN pre-filtering and cost-based optimization in a new blog post: https://dev.to/franckpachot/vector-search-with-filters-pgvector-vs-diskann-on-horizondb-i2k
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🚀🚀 BREAKING NEWS: A new #Postgres extension claims to boost #performance and scale with #vector #magic 🧙♂️✨. Apparently, #DiskANN works alongside #pgvector, because the only thing better than one overhyped feature is two! OSS licensed, because who wouldn't want to spend hours wrestling with open source? 🤦♂️
https://github.com/timescale/pgvectorscale #HackerNews #ngated -
#DiskANN and #HNSW (Hierarchical Navigable Small World graphs) appear to be trending again. First popped onto my radar 2 years ago, using #LMDB. https://xcancel.com/search?f=tweets&q=%23DiskANN&cursor=DAADDAABCgABGnlm6BXbcfcKAAIY9_luAhchywAIAAIAAAACCAADAAAAAAgABAAAAAAKAAUbmx1GGMAnEAoABhubHUYYv9jwAAA
A lot of the more recent noise seems to be on M$ infrastructure. For those with more money than brains...
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Azure Cosmos DB has integrated DiskANN technology, enabling high-accuracy and efficient vector search at a massive scale. This enhancement improves efficiency, reduces latency, and offers a cost-effective solution for managing and analyzing large datasets. https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/vector-search-using-95-less-compute-diskann-with-azure-cosmos-db/ba-p/4162956 #AzureCosmosDB #DiskANN #AIApplications #softcorpremium
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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
