AI RESEARCH

UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough

arXiv CS.AI

ArXi:2603.29875v1 Announce Type: cross One of the key problems in Retrieval-augmented generation (RAG) systems is that chunk-based retrieval pipelines represent the source chunks as atomic objects, mixing the information contained within such a chunk into a single vector. These vector representations are then fundamentally treated as isolated, independent and self-sufficient, with no attempt to represent possible relations between them. Such an approach has no dedicated mechanisms for handling multi-hop questions.