PageIndex: The Vectorless RAG That Reasons Through Documents Instead of Embedding Them
Traditional RAG chops documents into arbitrary chunks, embeds them, and hopes cosine similarity finds the right one. PageIndex throws that out — it builds a hierarchical table-of-contents tree and lets an LLM reason its way to the right section, the way a human expert flips to the right chapter. No embeddings, no vector DB. It hit 98.7% on the FinanceBench benchmark.
RAGLLMRetrieval
