Weaviate

Vector Databases & Memory

Open Source AI

Open-source vector database with GraphQL API, hybrid search combining vectors and keywords, and built-in multi-tenancy. Self-host or use managed cloud. Supports multiple vector indexes (HNSW, flat) and integrates with major LLM providers.

Why Use Weaviate

Flexibility of open-source with enterprise features. Hybrid search combines semantic meaning with exact keyword matching for better retrieval accuracy. GraphQL API makes integration intuitive for developers. Built-in modules for vectorization with OpenAI, Cohere, or custom models. Great for knowledge graphs with semantic connections.

Use Cases for Builders

Practical ways to use Weaviate in your workflow

Build open-source agent memory systems with full control
Create hybrid search combining semantic and keyword relevance
Implement multi-tenant AI applications with data isolation
Build knowledge graphs with semantic relationships
Prototype locally then deploy to managed cloud

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