Vector Databases & AI Storage

Weaviate

Open-source vector database with built-in vectorization — AI-native search and knowledge graphs.

4.5
8,900 reviews
Free
Pricing Tier
Medium
Learning Curve
2–5 days
Implementation
small, medium, large, enterprise
Best For
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Use when

Teams wanting a self-hostable vector database with automatic embedding generation. Strong choice for hybrid search combining keyword and semantic results.

Avoid when

Fully managed, zero-ops requirement — Pinecone is simpler to run at scale.

What is Weaviate?

Weaviate is an open-source vector database that can vectorize data automatically using built-in modules (OpenAI, Cohere, etc.). Strong multi-modal support, hybrid search (vector + BM25), and a GraphQL query interface. Popular for knowledge management systems and large-scale AI search.

Key features

Auto-vectorization via built-in modules
Hybrid search (dense + sparse)
GraphQL and REST API
Multi-modal (text + image)
Self-hostable on any cloud

Integrations

OpenAICohereLangChain

Third-party ratings

GitHub
4.5· 8,900 reviews
💰 Real-world pricing

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