Is HippoRAG 2 superseded?

HippoRAG 2 (Retrieval-augmented generation): superseded — cited as a baseline and beaten by newer methods. 1 paper(s) critique it, 23 beat it on benchmarks — #8 of 1179 most-superseded. Sub-problem: cluster led by RAG. Newer alternatives in the same sub-problem include Narrative Knowledge Weaver, IA-RAG, MemGraphRAG, LegalGraphRAG, R2C.

Method Drift›Retrieval-augmented generation

Superseded baseline#8 of 1,179 most-superseded

HippoRAG 2

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Retrieval-augmented generation · first seen Feb 20, 2025

superseded — cited as a baseline and beaten by newer methods

1 papers critique it · 23 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites HippoRAG 2 as a baseline.

“their reliance on graph traversal introduces substantial computational overhead and latency”
— HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG

Beaten on benchmarks

Head-to-head results where a newer method reports beating HippoRAG 2. Values are copied from the source paper's tables — verify against the cited paper.

LinearRAG beats HippoRAG 2 · GPT-Acc. [HotpotQA]
66.50 vs 64.30
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
LinearRAG beats HippoRAG 2 · Contain-Acc. [MuSiQue]
33.90 vs 31.00
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
LinearRAG beats HippoRAG 2 · GPT-Acc. [MuSiQue]
37.00 vs 35.00
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
LinearRAG beats HippoRAG 2 · GPT-Acc. [Medical]
63.72 vs 60.77
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
LegalGraphRAG beats HippoRAG 2 · Accuracy All [Qwen3-8B]
41.3 vs 32.5
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
LegalGraphRAG beats HippoRAG 2 · Accuracy All [DeepSeek-V3.1]
49.9 vs 41.2
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
LegalGraphRAG beats HippoRAG 2 · Accuracy All [GPT-4o-mini]
40.9 vs 31.9
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
GAM-RAG beats HippoRAG 2 · GPT-Acc [2Wiki]
64.20 vs 55.70
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
GAM-RAG beats HippoRAG 2 · Contain-Acc. [2Wiki]
71.80 vs 61.90
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
GAM-RAG beats HippoRAG 2 · GPT-Acc [HotpotQA]
74.90 vs 64.30
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
GAM-RAG beats HippoRAG 2 · Contain-Acc. [HotpotQA]
72.50 vs 62.90
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
GAM-RAG beats HippoRAG 2 · GPT-Acc [MuSiQue]
43.30 vs 24.80
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.