Weaviate
Open-source self-hostable vector database with hybrid search and module ecosystem.
VISIT WEAVIATEQuick facts
- CategorySelf-hosted
- EngineGo
- PricingFreemium
- LicenseBSD-3-Clause
- Created2019
- GitHub stars14.6k
- Hybrid searchNative
- Edge-readyNo
- Multi-tenantNative
- Max dimensions65,535
What it is
Weaviate is an open-source vector database with native hybrid search (vector + keyword), module ecosystem (transformers, OpenAI, Cohere as built-in vectorizers), and GraphQL + REST APIs. Self-host or use Weaviate Cloud. Strong on multimodal and on tight integration with LangChain / LlamaIndex.
Best for
- Self-hosted vector workloads at scale
- Apps that want hybrid search (vector + BM25) as a first-class primitive
- Multi-tenant deployments with isolation requirements
- Teams comfortable operating Go-based services
When not to pick it
Skip Weaviate if you want fully-managed without the open-source self-host complexity — Pinecone is simpler. Skip for very small workloads where pgvector is sufficient.
My take
Weaviate is the strongest open-source vector engine in 2026. Pick it when self-hosting is non-negotiable and the workload is past pgvector's scale ceiling.
Links
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Read the take →If Weaviate is your pick — the next conversation is short
The 30-min call is where your vector-DB choice becomes a real RAG architecture, a chunking + reranking strategy that actually works for your corpus, and a price range you can take to your stakeholders. Describe your data shape, your query patterns, your latency budget. I tell you whether Weaviate is genuinely your fit.