// AI & ML
Weaviate
Open-source vector database designed for building powerful, production-ready AI applications with hybrid search capabilities and flexible deployment options.
Weaviate is an open source ai & ml project written in Go, with 16,147 stars and 1,272 forks on GitHub. It is licensed under BSD-3-Clause and falls in the AI & ML category. Key topics: approximate-nearest-neighbor-search, generative-search, grpc, hnsw, hybrid-search.
// FACTS
- Stars
- 16.1k
- Forks
- 1.3k
- Open issues
- 577
- Language
- Go
- License
- BSD-3-Clause
- Category
- AI & ML
- Added
- 10d ago
- Updated
- 9d ago
// ABOUT
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.
// TOPICS
APPROXIMATE-NEAREST-NEIGHBOR-SEARCHGENERATIVE-SEARCHGRPCHNSWHYBRID-SEARCHIMAGE-SEARCHINFORMATION-RETRIEVALMLOPSNEAREST-NEIGHBOR-SEARCHNEURAL-SEARCHRECOMMENDER-SYSTEMSEARCH-ENGINESEMANTIC-SEARCHSEMANTIC-SEARCH-ENGINESIMILARITY-SEARCHVECTOR-DATABASEVECTOR-SEARCHVECTOR-SEARCH-ENGINEVECTORSWEAVIATE
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