AI · Early access

Weaviate hosting on your own server

An open-source vector database for AI search and retrieval.

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What Weaviate does

Weaviate is a vector database that stores embeddings alongside structured data, combining semantic vector search with traditional filtering. It's used as the retrieval layer behind RAG pipelines, recommendation engines, and semantic search features in AI applications. Modules can add features like hybrid keyword-plus-vector search or automatic vectorization through built-in model integrations.

Weaviate at a glance

License: BSD-3-Clause
Source code: github.com/weaviate/weaviate
Website: weaviate.io
Runs on: Your own server (VPS)
Good to know: Needs enough RAM to hold vector indexes; scales with the number and dimensionality of embeddings stored.

Semantic search backends
RAG pipeline retrieval layer
AI-powered recommendation systems

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AI with a cap you set
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