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.
Weaviate is an open-source vector database with built-in vectorization modules, hybrid search and a GraphQL API for AI-native applications.
From the README
pip install -U weaviate-client
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Free · no card · unsubscribe anytimeWeaviate 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.
weaviate has 16.6k stars on GitHub. It has been forked 1.4k times. weaviate is written mainly in Go. It has been in active development since 2016. weaviate is available under the BSD-3-Clause license. Its main topics are approximate-nearest-neighbor-search, generative-search, grpc, hnsw.
Read the full guideWhat is 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.
Is weaviate open source?
weaviate is an open-source project. It is released under the BSD-3-Clause license.
Is weaviate free?
Yes. weaviate is free and open source — you can use, modify and self-host it.
What license does weaviate use?
weaviate is available under the BSD-3-Clause license.
What language is weaviate written in?
weaviate is written mainly in Go.
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