Linking pages
Linked pages
- Cosine similarity - Wikipedia https://en.wikipedia.org/wiki/Cosine_similarity 274 comments
- 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
- Euclidean distance - Wikipedia http://en.wikipedia.org/wiki/Euclidean_distance 33 comments
- https://github.com/google-research/google-research/tree/master/scann 25 comments
- k-nearest neighbors algorithm - Wikipedia https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm 23 comments
- GitHub - weaviate/weaviate: Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database. https://github.com/weaviate/weaviate 5 comments
- A Gentle Introduction to Vector Databases | Weaviate - vector database https://weaviate.io/blog/what-is-a-vector-database 2 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
- Hybrid Search Explained | Weaviate - vector database https://weaviate.io/blog/hybrid-search-explained 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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