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Weaviate

APIyesFREEyesDOCS4/5
WE7.0#54of 74
outWeboutLinux

Ranked in Database Software·Free plan·paid from $45/mo

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About

Weaviate is an open-source vector database for storing, indexing, and searching high-dimensional vectors. It serves as infrastructure for search, retrieval-augmented generation (RAG), and agent applications. Search combines vector retrieval with BM25 keyword search, and also supports semantic and keyword search. For RAG, the product offers a way to interact with proprietary data through machine-learning models. Additional capabilities include filtering, vectorizer modules, configurable backups, multi-tenancy, vector-index compression, and tenant isolation. Teams can use Weaviate as a hosted service or manage an instance locally or with a cloud provider, including through Docker or Kubernetes. Listed integrations span AWS, Google Cloud, Azure, OpenAI, Anthropic, Cohere, Hugging Face, and Ollama. Weaviate Cloud encrypts data in transit and at rest, offers role-based access controls, and provides automated daily backups. The Free plan allows 100,000 objects, one collection, and up to three tenants, with no backups or high-availability replication. Flex starts at $45.00 USD per month; Premium is $400.00 USD per month.

Who it is for

It suits developers and teams building search, RAG, or agent systems who need hosted or self-managed deployment. Its integration list and multi-tenancy features may fit teams working across cloud and model providers.

What is good

  • Hybrid search combines vectors and BM25 keyword search.
  • Supports hosted and self-managed deployments.
  • Integrates with cloud and model providers.
  • Cloud includes encryption and role-based access controls.
  • SDKs include Python, TypeScript/JavaScript, Go, Java, and C#.

What to know first

  • Free plan is limited to 100,000 objects.
  • Free has no backups or high-availability replication.
  • Native Windows support is not offered.
  • Flex starts at $45.00 USD per month.

Verdict

Weaviate provides a broad foundation for vector search and RAG, with choices between hosted and self-managed operation. Check the Free plan limits and deployment needs before selecting a plan.

Compared on database software

Free plan
Yesweaviate.io
Paid from
$45/moweaviate.io

Facts

Product
Weaviate is an open-source AI vector database for storing, indexing, and searching high-dimensional vectors, used as a foundation for search, RAG, and agents.weaviate.io · 30 Sept 2026
Search
The database supports hybrid search that combines vector and BM25 keyword search, along with semantic and keyword search.weaviate.io · 30 Sept 2026
RAG
The product page describes out-of-the-box RAG that lets users interact securely with proprietary data through machine-learning models.weaviate.io · 30 Sept 2026
Other features
Listed features include advanced filtering, vectorizer modules, configurable backups, native multi-tenancy, vector-index compression, and tenant isolation.weaviate.io · 30 Sept 2026
Deployment
Weaviate can run as a hosted service or a self-managed instance locally or with a cloud provider; deployment options include Docker and Kubernetes.docs.weaviate.io · 30 Sept 2026
Integrations
The integration ecosystem lists cloud and model integrations including AWS, Google Cloud, Azure, OpenAI, Anthropic, Cohere, Hugging Face, and Ollama.weaviate.io · 30 Sept 2026
Security
The security page states that Weaviate Cloud encrypts data in transit and at rest, supports role-based access controls, and provides automated daily backups.weaviate.io · 30 Sept 2026
Compliance
The pricing page states that Weaviate Cloud is SOC 2 audited and that Enterprise Cloud on AWS is HIPAA compliant.weaviate.io · 30 Sept 2026
Support
Free includes Basic Support; Flex lists Standard Support with next-business-day Sev 1 response, while Premium lists enterprise support as fast as 1-hour Sev 1.weaviate.io · 30 Sept 2026
Plan limits
The Free plan has 100,000 objects, one collection, and up to three tenants; the pricing comparison lists no backups or high-availability replication for Free.weaviate.io · 30 Sept 2026
Windows support
Weaviate documentation says Windows use is possible via containers such as Docker or WSL, but native Windows support is not offered.docs.weaviate.io · 30 Sept 2026
Intended users
The company describes Weaviate as infrastructure for developers and says its deployments serve startups, scale-ups, and enterprises.weaviate.io · 30 Sept 2026
Company details
The company page describes Weaviate as a global remote-first startup but does not state its headquarters or founding year.weaviate.io · 30 Sept 2026

Company

Founded
2019weaviate.io · 28 Sept 2026

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