Category

RAG

Research on retrieval-augmented generation (RAG) and non-parametric memory for language models.

1 paper

RAGMemory ArchitectureLong-Term Memory

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

Bernal Jiménez Gutiérrez, Yiheng Shu et al.

ICML 2025 · 2025

HippoRAG 2 combines **Offline Indexing**, a schema-less **Knowledge Graph**, **Dense-Sparse Integration**, **Deeper Contextualization**, and **Recognition Memory** into a neuro-inspired non-parametric memory system for LLMs. On the joint RAG benchmark suite, HippoRAG 2 achieves 59.8 average F1 versus 57.0 for NV-Embed-v2, including 71.0 F1 on 2Wiki compared to 61.5 for NV-Embed-v2.