Vald Description

Vald is a distributed, fast, dense and highly scalable vector search engine that approximates nearest neighbors. Vald was designed and implemented using the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT for searching neighbors. Vald supports automatic vector indexing, index backup, horizontal scaling, which allows you to search from billions upon billions of feature vector data. Vald is simple to use, rich in features, and highly customizable.

Usually, the graph must be locked during indexing. This can cause stop-the world. Vald uses distributed index graphs so that it continues to work while indexing. Vald has its own highly customizable Ingress/Egress filter. This can be configured to work with the gRPC interface. Horizontal scaling is available on memory and cpu according to your needs. Vald supports disaster recovery by enabling auto backup using Persistent Volume or Object Storage.

Pricing

Pricing Starts At:
Free
Pricing Information:
Open source
Free Version:
Yes

Integrations

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Company Details

Company:
Vald
Website:
vald.vdaas.org

Media

Vald Screenshot 1
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Product Details

Platforms
SaaS
Type of Training
Documentation

Vald Features and Options

Vald Lists