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Vald

by Yahoo Japan

System Card

OrganizationYahoo Japan
Released2020-02
Architecturevector-rag / cloud-native distributed ANN engine
DetailsVald is a cloud-native distributed vector search engine written in Go, designed to run on Kubernetes with automatic horizontal scaling. It uses NGT (Neighborhood Graph and Tree) as its core ANN algorithm for high-throughput approximate nearest-neighbor search. Components are independently scalable (index agent, gateway, backup manager), and it supports automatic vector index backup to object storage.
Parameters—
Domainrag-retrieval
Open SourceYes
WebsiteVisit
Kubernetescloud-nativeNGTdistributedGo

Capability Profile

Benchmark Scores

5 of 14 benchmarks
Data Transparency:5 estimated
Long-Context Retrieval
2/5
RULER
69.437pEstimated
NIAH
no data
LooGLE
no data
LongBench
603pEstimated
∞Bench
no data
Multi-Turn Recall
0/2
LoCoMo
no data
MemoryBank
no data
Cross-Session Memory
0/1
LongMemEval
no data
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
602pEstimated
HotpotQA
6010pEstimated
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
67.537pEstimated
Sources:Arena estimate — derived from capability profile, not independently verified