Audience
Developers interested in a powerful vector search engine and database
About Vald
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed.
Usually the graph requires locking during indexing, which cause stop-the-world. But Vald uses distributed index graph so it continues to work during indexing. Vald implements its own highly customizable Ingress/Egress filter. Which can be configured to fit the gRPC interface. Horizontal scalable on memory and cpu for your demand. Vald supports to auto backup feature using Object Storage or Persistent Volume which enables disaster recovery.
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Pricing
Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.
Integrations
Company Information
Vald
vald.vdaas.org
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Product Details
Platforms Supported
Cloud
Training
Documentation
Vald Frequently Asked Questions
Q: What kinds of users and organization types does Vald work with?
Vald works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Vald support in their product?
Vald supports these languages: English.
Q: What other applications or services does Vald integrate with?
Vald integrates with: Docker, Go, IBM watsonx.data, Java, Kubernetes, Node.js, and Python.
Q: What type of training does Vald provide?
Vald provides training in the form of documentation.
Q: How much does Vald cost?
Pricing for Vald starts at Free.
