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Vald

Cloud-native distributed vector search engine for high-dimensional similarity search

★ 1,707 GitHub Apache-2.0 vector-searchvector-databaseknnannsimilarity-searchkubernetesgolangcncf RAG & Wissen

Überblick

Vald is a highly scalable, cloud-native distributed vector search engine designed for high-dimensional similarity search. Built with Go, it provides automated vector indexing, load balancing, and fault tolerance. As a CNCF Landscape project, Vald supports multiple ANN algorithms (NGT, HNSW) and handles billions of vectors with microsecond latency. It features automated pod lifecycle management with distributed indexing and replication, making it ideal for image search, recommendation systems, and semantic search at scale.

Anforderungen

Min vCPU
2
Min RAM
2048 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
4096 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  vald:
    image: vdaas/vald-agent-ngt:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/vald:/data

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High-performance cloud-native vector database for scalable ANN search

Anleitungen & Artikel

Getting Started with Vald: Deploy a Distributed Vector Search Engine on Kubernetes

Step-by-step tutorial for deploying Vald on Kubernetes using Helm. Learn to insert vectors, perform similarity search, and monitor your Vald cluster in production.

Jul 2, 2026

Vald: Cloud-Native Distributed Vector Search Engine for High-Dimensional Similarity

Discover Vald, the CNCF cloud-native distributed vector search engine built in Go for billion-scale similarity search with automated indexing, load balancing, and Kubernetes-native operations.

Jul 2, 2026