Weaviate is an open-source vector database with built-in vectorization modules, hybrid search and a GraphQL API for AI-native applications.
| Category | Vector database |
| Type | Vector database |
| License | BSD-3-Clause |
| Runs locally | Self-hosted |
| Built with | Go |
| Skill level | Intermediate |
| Best for | teams wanting hybrid search and built-in modules |
Other open-source vector database tools worth comparing:
QdrantFast Rust-based vector search
MilvusBillion-scale vector database
ChromaThe simplest embedding DB for prototyping
pgvectorVector search inside PostgreSQL
LanceDBServerless vector DB for AI
FAISSThe reference library for similarity search
VespaBig-scale hybrid search and ranking platform
pgvectorscaleMake pgvector fast at scale
MarqoVector search with embedding built in
USearchTiny, extremely fast vector indexWeaviate is free and open-source (BSD-3-Clause license), so you can use, self-host and modify it at no cost.
Yes. Weaviate is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include Qdrant, Milvus, Chroma. See the comparisons above to choose.
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