Vendors / Weaviate
Weaviate
Named in 45 of 50 AI answers across 1 category in September 2026. Best position: Vector databases, 90% answer share, ranked #4, named first in 0%.
90%
Best share Vector databases
What Weaviate is
Weaviate is an open-source vector database for developers creating and scaling AI applications. It is available self-hosted, as a managed service, or as a Kubernetes package in a VPC.
It stores, indexes and searches high-dimensional vectors. It combines vector search with BM25 keyword search for hybrid search, and can generate vector embeddings or accept embeddings supplied by the developer. It supports retrieval-augmented generation by using proprietary data with machine-learning models.
By category
First edition
| Category | Rank | Answer share | Named first | Models | Δ |
|---|---|---|---|---|---|
| Vector databasesAI infra | #4 of 16 | 0% | GPT-5.6 Sol, ChatGPT, GPT-5.6 Luna, Claude Opus 5, Claude, Claude Fable 5, Gemini, Gemini 3.5 Flash, Perplexity, Sonar Reasoning Pro | new |
What the models said
“Choose a database like Qdrant, Weaviate, or Pinecone that supports dense + sparse hybrid search natively.”
“Choose Weaviate if hybrid search and multi-tenant isolation are core requirements for your product.”
“Choose Weaviate if built-in hybrid search and higher-level AI retrieval features matter.”
“Weaviate: strongest built-in search feature set Weaviate is worth choosing when hybrid search is central and you want keyword retrieval integrated directly with vector search.”
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