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Marqo

by Marqo Pty Ltd

System Card

OrganizationMarqo Pty Ltd
Released2022-08
Architecturevector-rag / tensor search with integrated embedding
DetailsMarqo tightly couples embedding generation and vector indexing into one system, so documents are automatically tensorized on ingest via configurable model selection. It supports multimodal text+image queries, filtering via JSON attributes, and hybrid BM25+vector scoring. Backed by OpenSearch internals, it is offered as both open-source self-hosted and a managed cloud service.
Parameters—
Domainrag-retrieval
Open SourcePartial
WebsiteVisit
multimodale-commerce-searchtensor-searchhybridmanaged-cloud

Capability Profile

Benchmark Scores

5 of 14 benchmarks
Data Transparency:5 estimated
Long-Context Retrieval
2/5
RULER
67.618pEstimated
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
64.320pEstimated
HotpotQA
60.413pEstimated
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
6843pEstimated
Sources:Arena estimate — derived from capability profile, not independently verified