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More than just a vector database—a launchpad for AI innovation

Get in touch to accelerate vector search, RAG, and agentic AI at scale

Innovative companies of all sizes power AI experiences with Weaviate

With over 20M monthly downloads, our open source vector database is a core piece of the AI-native stack for developers and enterprises alike.

How Morningstar built a trustworthy, AI-driven financial data platform

Transforming Customer Service with Generative AI

Building Foundations for AI-First App Development

Building Foundations for AI-First App Development

Building an AI-Powered Shopping Copilot

Turning Unstructured Data into Insights

why build with weaviate

The open source vector database developers love

AI-native developer experience

Save time building with native hybrid search, multi-tenancy, and AI workflows.

Open source with flexible deployment

Deploy in our cloud, your cloud, or self-host on-prem with enterprise support.

Cost-performance optimization

Tune indexing technique, compression type, and storage tier for your needs.

Agents & embeddings

Leverage cloud services for agentic data tasks and embedding creation.

“Through our Corpus API connected to Weaviate, users can build very powerful, low latency search engines in minutes with little to no code.”

Aisis Julian

Senior Software Engineer, Morningstar

Integrations

With Weaviate, you can bring your own vectors or choose one of our out-of-the-box modules with support for vectorization. You can also easily connect to a wide variety of well-known language model frameworks.

Frequently asked questions

Let us help answer the most common questions you might have.

What is Weaviate?

What types of use cases does Weaviate support?

What is hybrid search?

How is Weaviate priced?

Is the open source Weaviate the same as that used on Weaviate Cloud?

Is Weaviate Cloud SOC2 compliant?

Are there any features offered in Weaviate Cloud that are not available in the open-source version?

What are Weaviate Embeddings?

What are Weaviate Agents?

How does Multi-tenancy work in Weaviate?

Which indexing algorithm does Weaviate use?

What type of data can be stored in Weaviate?

Does Weaviate offer any cost-savings constructs?

Let’s build the next generation of AI applications together

Do you have a question, an idea or a project you need help with? Contact us!