W
weaviate
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.
★16.7kstars
Go
BSD-3-Clause
Updated: Today
📋 Project at a Glance
Tap to expand
What's this?Data & Infrastructure project leveraging approximate-nearest-neighbor-search and generative-search, built with Go, open-source
Who made it?Maintained by weaviate team, 16.7K⭐ on GitHub, #108 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the weaviate team identified the need for better approximate-nearest-neighbor-search solutions. weaviate was created to simplify generative-search workflows.
What can it do?Key use cases: grpc, hnsw, hybrid-search
How to install with AI?Use an AI coding assistant to run go install and handle the build configuration automatically.
🔗 github.com/weaviate/weaviate | 官网 https://weaviate.io/developers/weaviate/
🔗 github.com/weaviate/weaviate | 官网 https://weaviate.io/developers/weaviate/
Topics
approximate-nearest-neighbor-searchgenerative-searchgrpchnswhybrid-searchimage-searchinformation-retrievalmlopsnearest-neighbor-searchneural-searchrecommender-systemsearch-enginesemantic-searchsemantic-search-enginesimilarity-searchvector-databasevector-searchvector-search-enginevectorsweaviate