Vald download for Linux

This is the Linux app named Vald whose latest release can be downloaded as vald-agent-ngt-linux-amd64.zip. It can be run online in the free hosting provider OnWorks for workstations.

 
 

Download and run online this app named Vald with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

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- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

SCREENSHOTS:


Vald


DESCRIPTION:

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 for neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which is 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 causes stop-the-world. But Vald uses distributed index graphs so it continues to work during indexing. Vald implements it's 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.



Features

  • Asynchronize Auto Indexing
  • Customizable Ingress/Egress Filtering
  • Cloud-native based vector searching engine
  • Auto Indexing Backup
  • Distributed Indexing
  • Index Replication


Programming Language

Go


Categories

Vector Search Engines

This is an application that can also be fetched from https://sourceforge.net/projects/vald.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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