Weaviate
Hybrid Search 2.0 with learned ranking. BM25 + vector in unified index.
At a glance
- Type
- Hybrid vector DB + learned ranking
- Tier
- T1
- Section
- Vector-database infrastructure
- Created
- 2016-03
- Latest release
- v1.37.2 2026-04-23
- License
- BSD-3-Clause
- GitHub
- 16.1k★ +134/mo Go
- Pricing
- Free + paid
- Funding
- $68M total $200M val Series B · 2023-04
Taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- long-term
- update
- overwrite
- unit
- chunk
- governance
- inspectable
- conflict
- overwrite
When to use
Optimised for: low-latency similarity search + scale
Anti-fit: not for relational / graph-heavy queries (vector-first by design)
Pros & cons
Pros
OSS-first managed and self-hosted vector DB with native hybrid (vector + keyword) and module ecosystem (Q&A, summarization, classification).
Cons
Module surface area can lead to feature drift; smaller enterprise sales presence than Pinecone.
Claims & capabilities
Made 2024 Forbes AI 50 List alongside OpenAI/Cohere/HuggingFace/Mistral/LangChain; combines vector search with knowledge-graph-style schema for contextual enrichment; not consistently top in pure-vector benchmarks but strong on hybrid use cases; emerged 2019
Technical surface
- API surface
- REST, GraphQL, gRPC, SDK: Python, JS/TS, Go, Java
- Backend storage
- custom (LSM-backed vector + inverted index)
- Deployment
- Both
- Embedding model
- multiple supported
- Multi-tenancy
- Tenant-per-collection (multi-tenancy feature) gives logical isolation without separate clusters; Dedicated Cloud option for hard isolation
- MCP
- via official adapter — weaviate-mcp
- A2A
- no Google A2A (Agent2Agent) integration documented as of 2026-05.
- OpenTelemetry
- first-class — Prometheus + OTel
Similar systems
Other vector-database infrastructure in the catalog, ranked by inbound references.
- Qdrant T1
Distribution-Based Score Fusion + RRF. Sparse vectors native; filtering via ANN graph modification.
- pgvector T1
Stores embeddings alongside relational + full-text data. HNSW + IVFFlat ANN indexes. Used as agent conversation memory via LangChain + MCP. Foundation of Supabase AI and many self-hosted RAG stacks.
- Pinecone T1
Managed vector DB. Cascading sparse + dense + rerank pipeline; pinecone-rerank-v0 .
- Chroma T1
Limited native hybrid (users build RRF custom). Fast Rust core (v2.5).
- LanceDB T1
Embedded vector DB (Arrow columnar). RRF reranker. Petabyte-scale on disk.
- MongoDB Atlas Vector Search T1
Agent memory store for both short-term (document) and long-term (vector). LangGraph checkpointer for stateful agents. Vector search extended to Community Edition (Sept 2025).
Related systems
Referenced by (1)
- Agno (Phidata) Memory integrates with — Single-line integrations with LanceDB, Pinecone, Weaviate, Qdrant.