Agent / long-term memory
GraphRAG
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Superseded baseline#16 of 63 most-superseded · first seen Jan 21, 2025
Superseded — cited as a baseline and beaten by newer methods
1 papers critique it · 2 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites GraphRAG as a baseline.
Although these works effectively structure large-scale textual data to enhance retrieval and generation capabilities, they are confined to static corpora, requiring complete reconstruction to integrate new information.
Beaten on benchmarks
Head-to-head results where a newer method reports beating GraphRAG. Values are copied from the source paper's tables — verify against the cited paper.
GSW beats GraphRAG
0.894 vs 0.748
Recall · [Overall Recall]
Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic WorkspacesCAM beats GraphRAG
52.3 vs 45.3
ACC-L · [Single-Document Scenarios (NovelQA)]
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.
- HingeMemHingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable DialoguesApr 8, 2026
- Jan 13, 2026
- Nov 25, 2025
- Generative Semantic Workspace (GSW)Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic WorkspacesNov 10, 2025
- Oct 7, 2025
- PREMemPre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized DialogueSep 13, 2025