The AI Native
Weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects.
Developer Experience & Community
Because we care about how fast you can go from zero to production,
we aim to serve our community by:
Creating valuable SaaS services
Integrating with your favorite embedding providers and frameworks
Whether you bring your own vectors or use one of the vectorization modules, you can index billions of data objects to search through.
Combine multiple search techniques, such as keyword-based and vector search, to provide state-of-the-art search experiences.
Improve your search results by piping them through LLM models like GPT-3 to create next-gen search experiences.
What you can do with Weaviate
Beyond search, Weaviate's next-gen vector database can power a wide range of innovative apps.
Besides Weaviate's capabilities to bring your own vectors, you can also choose one of Weaviate's modules with out-of-the-box support for vectorization. You can also pick from a wide variety of well-known neural search frameworks with Weaviate integrations.
Learn & get inspired
Learn how to use Weaviate and see what people are building with it.
Vector Library versus Vector Database
Weaviate + Jina AI for image search
Backup and Restore in Weaviate
Why is Vector Search so fast?
Join the global
Ask questions, get inspired, or just say Hi.
Ready to get started?
Follow the Quickstart tutorial >
or request access to the Weaviate Cloud Services >
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We believe in open-source
Weaviate is open-source and available for anybody to use wherever they want. Our services are created around SaaS, Hybrid-SaaS, and industry-standard service-level agreements.