PageIndex

PageIndex is a vectorless, reasoning-based RAG engine that reads documents the way humans do. Instead of chunking text into embeddings and hoping semantic similarity finds the right passage, it builds a hierarchical reasoning tree over the full document and navigates it with logical inference.

The result: every answer comes with exact page references you can click to verify. On FinanceBench, the standard benchmark for RAG on complex financial documents, PageIndex scores 98.7 percent accuracy, the highest reported.

It works three ways. Anyone can upload documents and get traceable answers. Developers get an API and MCP server with no embeddings, no chunking, and no vector database to manage. Enterprise customers get auditable retrieval at scale with full context traces.

Best suited for domain-specific work: financial reports, legal contracts, regulatory filings, medical literature, and technical documentation where precision matters more than speed.