Weaviate

Weaviate is an open-source vector database first released in 2019 by the company SeMI Technologies (now Weaviate B.V.), notable for combining vector search with a built-in GraphQL API and a strong typed schema model. The platform supports HNSW indexing, hybrid search blending dense vectors with BM25 keyword scoring, multi-tenancy, and built-in modules for generating embeddings through OpenAI, Cohere, Hugging Face, and other providers. Weaviate can run as a self-hosted instance, in a managed cloud service, or in the embedded mode for development. The platform has gained adoption in enterprise RAG deployments because its schema-first design fits well with structured enterprise data and its open-source license satisfies vendor-neutrality requirements in AI governance. Weaviate also supports generative search modules that combine retrieval and generation in a single query, simplifying RAG architecture. AI compliance teams in regulated industries favor Weaviate's self-hosted option because all vectors and queries can stay inside the enterprise security boundary.

Weaviate inside Centralpoint: Centralpoint connects to Weaviate clusters as part of its model-agnostic platform, supporting hybrid search alongside ChatGPT, Claude, Gemini, or LLAMA for generation. Prompts and skills stay local, tokens are metered per skill and audience, and Weaviate-backed chatbots embed across portals with one line of JavaScript.


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