RAG Without Vectors: PageIndex Revolutionizes Long-Document Analysis with Reasoning-Driven Retrieval
4 hours ago 高效码农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 …
OceanBase seekdb: The AI-Native Database Revolutionizing Hybrid Search for RAG and AI Agents
1 months ago 高效码农OceanBase seekdb: An Open Source AI-Native Hybrid Search Database for Multi-model RAG and AI Agents What problem does seekdb solve that traditional databases cannot? Most AI applications need to juggle user profiles, chat logs, JSON metadata, vector embeddings, and spatial data simultaneously, forcing teams to stitch together an OLTP database, a vector store, and a search engine. OceanBase seekdb ends this fragmentation by unifying relational, vector, full-text, JSON, and GIS data in a single engine with built-in AI workflows, enabling true hybrid search without external orchestration. What Makes seekdb Different: Product Positioning and Architecture Core question: Where does seekdb fit …
Web Agent Face-Off: RAG Outperforms HTML, MCP & NLWeb in E-commerce
1 months ago 高效码农Web Agent Interfaces Showdown: MCP vs RAG vs NLWeb vs HTML – A Comprehensive Technical Analysis Core Question: Which Web Agent Interface Delivers the Best Performance and Efficiency? This article addresses the fundamental question: How do different web agent interfaces compare in real-world e-commerce scenarios? Based on extensive experimental research comparing HTML browsing, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and NLWeb interfaces, we provide definitive insights into their effectiveness, efficiency, and practical applications. Our analysis reveals that RAG, MCP, and NLWeb significantly outperform traditional HTML browsing, with RAG emerging as the top performer when paired with GPT-5, achieving an …