Weaviate
Vector database with built-in modules for embedding, generative search, and reranking. Schema-first design appeals to teams used to traditional databases. Generative-search module pairs with local Ollama models out of the box.
Overview
Vector database with built-in modules for embedding, generative search, and reranking. Schema-first design appeals to teams used to traditional databases. Generative-search module pairs with local Ollama models out of the box.
Stack & relationships
How Weaviate relates to other entries in the catalog — recommended pairings, alternatives, dependencies, and edges to avoid. Each edge carries a one-line operator note from our editorial team.
Works with
- Works withAnythingLLM
Supported backend — works fine. Most users pick Qdrant or LanceDB instead.
Alternatives
- Competes withQdrant
Both are production-grade vector DBs. Qdrant has the simpler ops surface and better single-node performance; Weaviate has hybrid-search and broader query language.
- Alternative toQdrant
Weaviate has hybrid search and a richer query language; Qdrant has cleaner ops and faster single-node performance. Pick by workload shape.
Pros
- Schema-first feels familiar
- Native generative search
- Hybrid (vector + keyword) BM25 built-in
Cons
- Heavier ops than Chroma
- Schema rigidity vs Qdrant's flexibility
Compatibility
| Operating systems | macOS Linux Windows Docker Kubernetes |
| GPU backends | n/a |
| License | Open source · free (OSS) + managed cloud |
Get Weaviate
Frequently asked
Is Weaviate free?
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Reviewed by RunLocalAI Editorial. See our editorial policy for how we evaluate tools.