Weaviate

Open-source vector database for storing and searching embeddings in AI applications.

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Weaviate — open-source vector database for AI-native semantic search and retrieval.

Weaviate is a mature, production-ready open-source vector database that combines vector similarity search, BM25 keyword search, and RAG in a single unified system. The DB entry price is listed as $39/month, which is incorrect — the actual Flex pay-as-you-go cloud plan starts at $45/month, and a permanent free tier also exists. The open-source self-hosted path carries no licensing cost at all, making the tool genuinely freemium across deployment modes.

Weaviate delivers one of the broadest feature sets in the open-source vector DB space — hybrid search, built-in RAG, native multi-tenancy, and vector compression — with a genuine self-hosting path and a no-card-required free cloud sandbox that gets developers to first semantic search results in minutes.

Plus and Premium tiers require annual prepaid contracts; usage-based billing on vector dimensions, storage, and embeddings can be hard to model in advance for large corpora.

Pinecone for a fully managed, serverless-first vector DB with no infrastructure overhead.

Chroma for a lightweight, in-process open-source vector store suited to local prototyping.

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