Hierarchical Tree Based Document Indexing With Llm Generated Summaries

via “hierarchical tree-based document indexing with llm-generated summaries”

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Unique: Uses hierarchical tree indexing modeled on table-of-contents structure instead of flat vector embeddings, with LLM-generated summaries at each node enabling reasoning-based navigation rather than similarity-based retrieval. Eliminates chunking entirely by respecting natural document boundaries.

vs others: Achieves 98.7% accuracy on FinanceBench vs traditional vector RAG because it treats retrieval as a reasoning problem over structured hierarchy rather than approximate similarity matching, making it superior for documents requiring domain expertise and multi-step reasoning.