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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​.

16.3k stars1.3k forks136 watchers355 open issuesGoBSD-3-Clause

TL;DR · 30-second scan

What it is

weaviate (Go)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​.

What it does for you

You need hybrid keyword + vector search and want it built in rather than bolted on.

Best for

AI & ML · Database & ORM

16.3k GitHub starsLicense: BSD-3-ClauseLast updated 1 month ago
EDITOR'S DEEP TAKE

Vector DB with strong hybrid search (vector + keyword) and built-in modules for common embedding workflows. Slightly higher learning curve than Qdrant but powerful for production RAG.

Use this if

You need hybrid keyword + vector search and want it built in rather than bolted on.

Skip if

You only need pure vector search — Qdrant is simpler.

Topics
search-enginesemantic-searchsemantic-search-enginevector-searchvector-search-enginevector-databaseapproximate-nearest-neighbor-searchimage-searchhnswinformation-retrievalmlopsnearest-neighbor-searchneural-searchrecommender-systemsimilarity-searchvectorsgenerative-searchhybrid-searchweaviategrpc
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Created 30 Mar 2016
Last push 1 month ago
Stats refreshed 1 month ago