VA

Vald

Cloud-native distributed vector search engine

Search Engines ★ 1.7k stars Hard setup Apache-2.0

Vald is a highly scalable distributed vector search engine designed to run on Kubernetes for approximate nearest neighbor search over billions of vectors. It is used for similarity search in recommendation and AI applications.

Key features

  • Distributed vector search
  • Kubernetes-native
  • Billion-scale indexes
  • Approximate nearest neighbor

Strengths

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Active community (1.7k GitHub stars)

Is Vald secure?

OSV.dev has no published security advisories for Vald's repository. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.

Source: OSV.dev, checked 2026-10-14. How this is measured.

Vald replaces

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SelfHostIndex: 85 · excellent

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