Moshidon
Megalodon
Whalebird
Ice Cubes for Mastodon
Pinafore
Ivory for Mastodon
Hyperspace Mastodon client
Twidere
Annoy
Vectara Neural Search
Milvus
Scikit-learn
txtai
Weaviate
AWS Personalize
Qdrant
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The focus on the top 10 in vector search is a product of wanting to prove value over keyword search. Keyword search is going to miss some conceptual matches. You can try to work around that with tokenization and complex queries with all variations but it's not easy. Vector search isn't all that new a concept. For example, the annoy library (https://github.com/spotify/annoy), an open source embeddings database. - Source: Hacker News / 8 months ago
If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw. Source: 10 months ago
I then use annoy to compare them. Annoy can use different measures for distance, like cosine, euclidean and more. Source: 11 months ago
Yes you can do this for equality predicates if your row groups are sorted . This blog post (that I didn't write) might add more color. You can't do this for any kind of text searching. If you need to do this with file based storage I'd recommend using a vector based text search and utilize a ANN index library like Annoy. Source: 11 months ago
If you need large scale (1000+ dimension, millions+ source points, >1000 queries per second) and accept imperfect results / approximate nearest neighbors, then other people have already mentioned some of the best libraries (FAISS, Annoy). Source: 12 months ago
Megalodon - A fork of official Mastodon Android app which include new additional features.
Vectara Neural Search - Neural search as a service API with breakthrough relevance
Whalebird - Whalebird is a Mastodon client for desktop application.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Ice Cubes for Mastodon - A SwiftUI Mastodon client for iOS.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
