Weaviate Database
Open-source vector database and its managed Weaviate Cloud, with a Query Agent, an embeddings service and multi-tenancy.
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What it does
- Vector search
- Knowledge retrieval
Features 7
- Built-in hybrid searchCombines vector and BM25 keyword search, merging search algorithms and re-ranking results.
- Advanced filteringApplies complex filters across large datasets.
- Out-of-the-box RAGLets applications use proprietary data to interact with ML models securely.
- Vectorizer modulesGenerates new vector embeddings or accepts the user's own.
- Configurable backupsBackups can run as often as needed with zero downtime.
- Native multi-tenancyScales horizontally and uses resources efficiently across tenants, with strict tenant isolation.
- Vector index compressionReduces the memory footprint of large datasets.
Sources
- Pricing
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Pricing page: Free "Forever $0 /mo", Flex "Starts at $45 /mo" pay-as-you-go, Premium "Contact sales for more information" (prepaid contract); the FAQ: "Weaviate Cloud uses the Weaviate open-source project, wrapped in a managed service".
- Description
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Official documentation · 18 Oct 2026
"Weaviate is an open-source vector database that simplifies the development of AI applications."
- What it does
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Official documentation · 18 Oct 2026
"Built-in vector and hybrid search, easy-to-connect machine learning models, and a focus on data privacy enable developers of all levels to build, iterate, and scale AI capabilities faster."
- Sold within
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Pricing page sells it on its own from a free forever tier.
- Name
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Official documentation · 13 Oct 2026
Name as published on the product page.
- URL
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Official documentation · 13 Oct 2026
Product page, read 2026-10-13.
- Deployment
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Official documentation · 18 Oct 2026
Platform page: "Run freely with Weaviate, available as a self-hosted database, managed service, or Kubernetes package in your VPC.".
- Interfaces
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Official documentation · 13 Oct 2026
Managed Weaviate Cloud (pricing page tiers).
- Modalities
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Official documentation · 14 Oct 2026
Page: 'Built-in vector generation from text, images, and more. No external embedding pipeline required'.
Also from Weaviate
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Query Agent AI agent
An agent that searches a Weaviate Cloud database using natural-language questions.
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Engram API service
A managed service that extracts and stores searchable memories for AI agents and applications.
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Weaviate Embeddings API service
A managed inference service that generates vector embeddings for data and queries in Weaviate Cloud.
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