Weaviate
An open-source vector database with built-in vectorization modules and GraphQL API. Weaviate emphasizes ease of use with automatic embedding generation and a schema-based approach to organizing data.
Implements
Concepts this tool claims to implement:
- Vector Search primary
HNSW-based vector search with filtering. Native support for multi-modal (text, image) vectors.
- Hybrid Search primary
Built-in hybrid search combining BM25 keyword search with vector similarity. Alpha parameter for weighting.
- Knowledge Base primary
Schema-based collections with properties and cross-references. Supports structured knowledge organization.
- Embedding secondary
Vectorizer modules (OpenAI, Cohere, Hugging Face) for automatic embedding at insert time.
Integration Surfaces
Details
- Vendor
- Weaviate
- License
- BSD-3-Clause
- Runs On
- local, cloud
- Used By
- system
Links
Notes
Weaviate's built-in vectorization simplifies RAG pipelines—you can insert text and it handles embedding automatically. The GraphQL API is unique among vector databases and enables complex queries.