weaviate.io
Open-source vector search engine with built-in ML models, GraphQL API, and hybrid search capabilities.
Weaviate API provides an open-source vector database with built-in vectorization modules, enabling developers to store data and query it using semantic search without managing separate embedding pipelines. The platform combines vector search with traditional keyword search for optimal retrieval.
Features include automatic vectorization using OpenAI, Cohere, or Hugging Face models, GraphQL and REST APIs, multi-tenancy support, and CRUD operations with ACID guarantees. Weaviate supports various data types including text, images, and custom objects with cross-references.
With both cloud-hosted and self-hosted deployment options, Weaviate serves applications requiring semantic search, recommendation engines, knowledge graphs, and RAG systems. The platform offers excellent developer experience with comprehensive documentation, client libraries, and active community support.
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