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Tool profile · Vector Databases & AI Search

Weaviate

Open-source with built-in hybrid search and a module ecosystem.

87
sovereignty

Weaviate is an open-source (BSD-3-Clause), cloud-native vector database that stores objects and vectors together, pairing similarity search with structured filtering and strong built-in hybrid (keyword + vector) search. Its module system can handle embedding generation for you, and Weaviate Cloud offers the managed path. A polished middle ground between Qdrant's lean engine and Milvus's heavy distribution.

OPEN SOURCEBSD-3-ClauseSELF-HOST
LicenseBSD-3-Clause
PricingFree self-hosted (BSD-3-Clause); Weaviate Cloud managed tiers
Open sourceYes
Self-hostableYes
Local-first dataNo

What it does well

  • +Hybrid keyword + vector search built in
  • +Modules can generate embeddings server-side
  • +GraphQL and REST APIs; solid multi-tenancy

Where it falls short

  • Heavier than Qdrant for simple use cases
  • Module system adds a learning curve

Weaviate as an alternative to

Where Weaviate shows up in our comparisons, and how it ranked.

Weaviate head-to-head

Straight comparisons against the tools people weigh it against.

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