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The AI-Native Vector Database

Purpose-built platform for a new breed of software applications.

Store and retrieve data objects and vector embeddings. Seamlessly connect to your favorite ML models. And build intuitive, reliable AI applications that scale. 

Bring the power of AI to more  developers

An approachable, open source platform with an active community that helps developers of all levels build end-to-end AI applications.

Spend less time on custom code

Pre-built modules for popular ML models and frameworks enable faster development and iteration. Just plug in your data and go. 

Combine vector and keyword search 

Get the advantages of both vector and keyword search out of the box. Improve semantic understanding and accuracy.

Run securely and reliably at scale

Meet the needs of your business. Weaviate is available as an open source platform, as a managed service, or as a Kubernetes package in your VPC.

Learn more about Trust and Security with Weaviate

Feature Overview

Built-in hybrid search

Merge different search algorithms and re-rank results accordingly.

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Advanced filtering

Apply complex filters across large datasets in milliseconds. 

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Out-of-the box RAG

Use proprietary data to securely interact with ML models.

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Vectorizer modules

Easily generate new vector embeddings or bring your own.

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Configurable backups

Back up as often as needed with zero downtime.

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Native multi-tenancy

Scale horizontally and consume resources efficiently.

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Vector index compression

Improve the memory footprint of large datasets.

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Ensure security with strict resource isolation.

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20+ Ecosystem Integrations

Move faster with direct integration into the ML ecosystem.

“Weaviate's batteries include model serving and multi-tenant implementation which have helped us quickly prototype and build our vector search at Stack.”

Constantine Kokkinos,
Stack Overflow