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Vespa AI

by Yahoo / Vespa.ai (independent OSS project)

System Card

OrganizationYahoo / Vespa.ai (independent OSS project)
Released2017-09
Architecturevector-rag / hybrid lexical-vector engine
DetailsVespa is a full-featured search and vector database engine supporting HNSW approximate nearest-neighbor search combined with BM25 lexical scoring in a single query. It runs as a stateful distributed service with multi-phase ranking, custom ranking expressions, and native ML inference. Designed for large-scale production workloads at Yahoo, it handles both batch updates and real-time writes.
Parameters—
Domainrag-retrieval
Open SourceYes
WebsiteVisit
hybrid-searchANNrankingreal-timedistributed

Capability Profile

Benchmark Scores

5 of 14 benchmarks
Data Transparency:5 estimated
Long-Context Retrieval
2/5
RULER
66.614pEstimated
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
60.56pEstimated
HotpotQA
62.119pEstimated
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
67.740pEstimated
Sources:Arena estimate — derived from capability profile, not independently verified