RAG Implementation - Enterprises are building RAG (Retrieval-Augmented Generation) systems over hundreds of data sources [1] - The industry is moving towards RAG implementations across 200+ data sources, emphasizing local processing [1] MCP-Powered RAG Adoption - Microsoft includes MCP-powered RAG in M365 products [1] - Google integrates it into Vertex AI Search [1] - AWS offers it through Amazon Q Business [1]

RAG技术应用 - 企业正在构建基于超过 100 个数据源的 RAG 系统 [1] - Microsoft 在 M365 产品中提供 RAG 技术 [1] - Google 在 Vertex AI Search 中提供 RAG 技术 [1] - AWS 在 Amazon Q Business 中提供 RAG 技术 [1] 技术趋势 - 行业正在构建基于 MCP 驱动的 RAG 系统，数据源超过 200 个，并且 100% 本地化 [1]

RAG Implementation - Enterprises are building RAG (Retrieval-Augmented Generation) systems over hundreds of data sources, not just one [1] - The industry is building MCP (Most Capable Platform)-powered RAG over 200+ sources, with 100% local data processing [1] Platform Adoption - Microsoft includes it in M365 products [1] - Google includes it in its Vertex AI Search [1] - AWS includes it in its Amazon Q Business [1]