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RAPTOR

by Stanford (Sarthi, Abdullah et al.)

System Card

OrganizationStanford (Sarthi, Abdullah et al.)
Released2024-01
Architecturehierarchical-summary / Recursive bottom-up clustering + summarization tree
DetailsRecursively embeds, clusters, and summarizes chunks to build a multi-level tree. Inference retrieves across tree levels, integrating information at multiple abstraction granularities.
Parameters—
Domainrag-retrievallong-context
Open SourceYes
PaperView Paper
CodeRepository
iclr-2024treerecursive-summarymulti-hop

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Data Transparency:6 estimated
Long-Context Retrieval
4/5
RULER
70.145pEstimated
NIAH
no data
LooGLE
77.145pEstimated
LongBench
603pEstimated
∞Bench
7956pEstimated
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
7657pEstimated
MultiHop-RAG
no data
HotpotQA
6530pEstimated
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:Arena estimate — derived from capability profile, not independently verified