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Vector DBFreeOpen Source
VALD
Kubernetes-native distributed vector search engine for billion-scale similarity
Apache-2.0
ABOUT
Scaling vector similarity search to billions of vectors while maintaining high availability, disaster recovery, and low latency is operationally complex. Vald solves this with a Kubernetes-native architecture that handles automatic vector indexing, load-balanced query distribution, index backup to object storage, and transparent horizontal scaling — all without manual ops intervention.
INSTALL
helm repo add vald https://vald.vdaas.org/charts
helm install vald-cluster vald/vald
INTEGRATION GUIDE
1. Semantic image search at scale for e-commerce and media platforms with billions of vectors
2. Real-time similar item recommendation in production Kubernetes environments
3. Large-scale document retrieval for enterprise RAG pipelines with guaranteed uptime
4. High-dimensional anomaly detection for security and monitoring applications
TAGS
vector-searchkubernetessimilarity-searchcloud-nativedistributed