Vald
Open-source, cloud-native distributed vector search engine for approximate nearest neighbor search.
Infrastructure by vdaas
IndexedApache-2.0★ 1,734
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Setup steps are in the repository. Website · Docs · Repository
About
Vald is a distributed approximate nearest neighbor dense vector search engine built on cloud-native architecture. It distributes and replicates vector indexes across agents, with automatic indexing, index backup and horizontal scaling. It is installed on Kubernetes with Helm and uses the NGT algorithm for neighbor search.
Use cases: knowledge-base, database-access
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Fact sheet
- Category
- Vector databases · open source
- Self-host
- Yesraw.githubusercontent.com
- Open source
- Yesraw.githubusercontent.com
- Protocols
- grpcvald.vdaas.org
Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.
Signals
- Stars
- 1,734
- Forks
- 94
- Open issues
- 130
- Last commit
- Oct 23, 2026 (6 days ago)
- Last release
- Aug 26, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/vdaas/vald
- Website
- vald.vdaas.org
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Cite this page
Vald. Agent Mart. https://agentmart.dev/infrastructure/vald (last updated 2026-10-24)