Back to Arena

MiniRAG

by HKUDS

System Card

OrganizationHKUDS
Released2025-02
Architecturegraph-rag / Heterogeneous text+entity graph for small LMs
DetailsCombines text chunks and named entities in one heterogeneous graph; a topology-aware retriever traverses the graph for lightweight knowledge discovery. Targets small LMs; 25% of LightRAG storage footprint.
Parameters—
Domainrag-retrievalknowledge-graph
Open SourceYes
PaperView Paper
CodeRepository
small-lmheterogeneous-graphlightweightedge-friendly

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Data Transparency:1 self-reported5 estimated
Long-Context Retrieval
2/5
RULER
74.880pEstimated
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
1/1
LongMemEval
73.132pEstimated
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
68.431pSelf-Reported
HotpotQA
73.463pEstimated
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
70.961pEstimated
Sources:arXiv:2501.06713 Table 1 — Accuracy with gpt-4o-mini; SLM backbones: Phi-3.5-mini 49.96, GLM-Edge 51.41, Qwen2.5-3B 48.55Arena estimate — derived from capability profile, not independently verified