This tree search framework hits 98.7% on documents where vector search fails

PageIndex, a new framework, abandons traditional vector search for a tree search approach, achieving 98.7% accuracy on long documents. It navigates documents like a human, using a table of contents to identify relevant sections. This approach solves the "intent vs. content" gap in retrieval-augmented generation.