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vald

vdaas/vald

A Highly Scalable Distributed Vector Search Engine

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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1.7k stars95 forksLast push Sep 16, 2026 Go Apache-2.0

Decision brief

Vald is a distributed vector search engine written in Go, optimized for high performance and scalability, making it suitable for applications such as image search and similarity search.

Good fit when

When you need a scalable solution for high-dimensional data search, Vald can handle large volumes of data efficiently.
If your application requires integration with Kubernetes, Vald is designed to work seamlessly within a Kubernetes environment.

Avoid when

Avoid Vald if your infrastructure does not support Kubernetes 1.19 or newer, as it is a requirement for Vald's operation.
Do not use Vald if your hardware does not support AVX2 instructions, as this will limit the performance of the Vald Agent NGT component.

Requirements:: Requires Kubernetes 1.19 or newer.; Hardware must support AVX2 instructions for optimal performance.

Observed Sep 18, 2026 · Source: enrich:decision_facts

vald alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (2d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

go get github.com/vdaas/vald

pkg.go.dev

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Vald is a distributed vector search engine written in Go, designed for high performance and scalability, suitable for applications like image search and similarity search.

Capability facts

Languages: go
Source: github.language · Sep 18, 2026

README

Requirements Kubernetes 1.19 AVX2 instructions (required by Vald Agent NGT) LICENSE Vald released under Apache 2.0 license, refer LICENSE file.

For agents

This page has a .md twin and JSON over the API.

/tools/vdaas-vald.md GET /api/graphcanon/tools/vdaas-vald GET /api/graphcanon/graph?tool=vdaas-vald