Weaviate
Weaviate is an open-source vector database that allows you to store data objects and vector embeddings side-by-side.
Free + paidWebAPICLIOpen sourceKoreanMultimodal
Visit websiteweaviate.io
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Weaviate is an open-source vector database that allows you to store data objects and vector embeddings side-by-side. It features hybrid search, multi-modal support, and a modular architecture, enabling developers to build sophisticated AI applications quickly. It is highly optimized for semantic search and Retrieval-Augmented Generation (RAG), offering a developer-friendly GraphQL API and seamless integration with major AI model providers.
Key features
- Hybrid Search
- Vector and Keyword Search
- Multi-modal Support
- GraphQL & REST API
- Auto-schema
- Modular Architecture
- Real-time Indexing
Pricing
Use cases
- Retrieval-Augmented Generation (RAG)
- Semantic Search Engines
- Recommendation Systems
- Image and Video Search
Who it is for
AI EngineersData scientistsBackend Developers
Integrations
OpenAILangChainLlamaIndexHugging FaceCohere
Tags
RAG
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 08/30/2026Verified sources: 1
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