RAG Without Vectors: PageIndex Revolutionizes Long-Document Analysis with Reasoning-Driven Retrieval

PageIndex: When RAG Bids Farewell to Vector Databases—How Reasoning-Driven Retrieval is Reshaping Long-Document Analysis PageIndex Banner Image source: PageIndex Official Repository The core question this article answers: Why do traditional vector-based RAG systems consistently fail when handling professional long documents, and how does PageIndex achieve truly human-like precision through its “vectorless, chunkless” reasoning-driven architecture? If you’ve ever asked a financial analysis RAG system about the specific reasons for intangible asset impairment in a company’s Q3 report, only to receive generic statements about fixed asset depreciation, you’ve experienced the structural flaw that plagues traditional retrieval systems. Semantic similarity is not the …