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- GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors. https://github.com/facebookresearch/faiss 100 comments
- Locality-sensitive hashing - Wikipedia https://en.wikipedia.org/wiki/Locality-sensitive_hashing 40 comments
- Announcing ScaNN: Efficient Vector Similarity Search – Google AI Blog https://ai.googleblog.com/2020/07/announcing-scann-efficient-vector.html 33 comments
- GitHub - weaviate/healthsearch-demo: Discover Healthsearch: Unlocking Health with Semantic Search ✨ https://github.com/weaviate/healthsearch-demo 26 comments
- GitHub - weaviate/weaviate: Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients. https://github.com/weaviate/weaviate 5 comments
- Welcome | Weaviate - vector database https://weaviate.io/ 4 comments
- GitHub - spotify/annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk https://github.com/spotify/annoy 0 comments
- Vector Embeddings Explained | Weaviate - vector search engine https://weaviate.io/blog/vector-embeddings-explained 0 comments
- Vector Library versus Vector Database | Weaviate - vector database https://weaviate.io/blog/vector-library-vs-vector-database 0 comments
- Discover Healthsearch Unlocking Health with Semantic Search ✨ | Weaviate - vector database https://weaviate.io/blog/healthsearch-demo 0 comments
- Distance Metrics in Vector Search | Weaviate - vector database https://weaviate.io/blog/distance-metrics-in-vector-search 0 comments
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