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Vectara

by Vectara Inc.

System Card

OrganizationVectara Inc.
Released2022-10
Architecturevector-rag / grounded generation RAG-as-a-service
DetailsVectara coined the term "Grounded Generation" (now broadly called RAG) and provides a fully managed pipeline: ingest documents, chunk and embed internally, then serve with a dedicated retrieval API that returns citations. The platform uses its own Boomerang embedding model and a factual-consistency scorer to reduce hallucinations. Mockingbird, a task-specific LLM, was launched in 2024 specifically for RAG synthesis.
Parameters—
Domainrag-retrieval
Open SourceNo
WebsiteVisit
managed-raggrounded-generationanti-hallucinationcitationsenterprise

Capability Profile

Benchmark Scores

5 of 14 benchmarks
Data Transparency:5 estimated
Long-Context Retrieval
2/5
RULER
66.410pEstimated
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
64.923pEstimated
HotpotQA
58.87pEstimated
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
65.225pEstimated
Sources:Arena estimate — derived from capability profile, not independently verified