AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM

ArXi:2510.17934v2 Announce Type: replace-cross Retrieval-augmented generation (RAG) has shown some success in augmenting large language models (LLMs) with external knowledge. However, as a non-parametric knowledge integration paradigm for LLMs, RAG methods heavily rely on external retrieval modules and the retrieved textual context prior. Especially for very large scale knowledge augmentation, they would