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Weaviate • Vector Search Engine

Weaviate is an open source vector search engine that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

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Read our Series A Funding Announcement → Techcrunch – Yahoo Finance – MT/Sprout (Dutch)

Low Latency & Large-Scale

Achieve low latencies at any scale in production. Weaviate is a fault-tolerant, highly-available database that you can tune for the best possible QPS/Accuracy trade-off.

Flexibility

Use Weaviate as a stand-alone vector search engine (bring your own vectors) or use one of the many modules (transformers, GPT-3, and more) to vectorize or extend your Weaviate setup.

Ease-of-Use

Cloud-native (Kubernetes and Docker), a wide variety of client libraries, and available through RESTful and GraphQL APIs.

Weaviate in the news

A wide variety of out-of-the-box integrations

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 choose one of the integrations with one of the well-known neural search frameworks.

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Learn more about integrations

Combining developer UX and scalability

Query your data using GraphQL

Weaviate has a graph-like data model to easily search through your data using the GraphQL-API. Making Weaviate ideal to store any vectorized data format or graph-embeddings.

Containerized development

Starting your development with Weaviate is one docker-compose up away. Get started in the docs here.

Kubernetes for scale

Need to scale for production? Check out the Weaviate K8s docs here.

Need inspiration?

On the Weaviate Podcast users share how they are using Weaviate in their use cases.

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Watch now

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Join a growing community of Weaviate enthusiasts

There is a growing, global community of Weaviate users. Consider giving us a try by downloading a container and by giving us a Github star if you like what you see.

Containers pulled

Github ⭐

Yes, there is a managed Weaviate service as well ☺️

We offer Weaviate as a fully managed service (including optional ML-inference). Does your use case contain sensitive data or do you want to keep full control over where the data resides? Then we can offer a hands-off managed service on your own cloud infrastructure.

Standard

Fully managed Weaviate on the Weaviate Cluster Service

Direct support from our solution engineers

Production ready Service License Agreements (SLA)

Managed or 3rd-party ML-Inference

Request early access!

Enterprise

We offer variable pricing with discounts for larger organizations. Get in touch with us and we’ll figure out something that works for everyone.

Google Cloud Platform

Microsoft Azure

Amazon Web Services

Request a quote

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Who is the company behind Weaviate?

SeMI Technologies is the company behind Weaviate and responsible for the managed services.

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Should I use the managed service or open-source?

If you decide to use Weaviate open-source, you have 100% control and rely on community support. The paid services provide direct support, take all management away, and -often crucial if you are an enterprise- the right SLAs to run a database like Weaviate in production.

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Is there a startup / foundation / education discount?

Yup! Ask us about it.

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Is there a difference between Weaviate open-source and the paid version of Weaviate?

No.

Get started

Get started with Weaviate

Add a +1 to the hundreds of thousands of Weaviate downloads today.

Get started with open source Request early access to the managed service