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 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 …