Great RAG paper from IBM. There are some really good ideas on how to solve common RAG issues. It's well known that retrievers chunk long documents by length, which discards the hierarchy the document already has. So they propose using a table of contents. A table of contents helps to encodes exactly the global structure that chunking throws away. STAIR uses that table of contents as the addressing scheme for a generative retriever, so the model stores and retrieves information from its own…