Structured RAG: Overcoming Traditional Retrieval Limitations to Build Enterprise-Grade Trustworthy AI Decision Engines
1 months ago 高效码农In the wave of enterprise digital transformation, Retrieval-Augmented Generation technology has become a crucial bridge connecting large language models with private knowledge bases. However, when this technology is applied to enterprise environments with extremely high accuracy requirements, its inherent limitations gradually become apparent, potentially even triggering serious business risks. The RAG Dilemma in Enterprise Applications: Why Traditional Methods Fall Short Traditional embedding-based retrieval-augmented generation methods retrieve relevant information by calculating semantic similarity between queries and document fragments. While this approach performs well with narrative, open-ended questions, it proves inadequate for the structured, precise query scenarios common in enterprises. The Natural …
Enterprise Deep Research: How Steerable AI Agents Are Transforming Research
1 months ago 高效码农Title: Enterprise Deep Research (EDR): How Steerable Multi-Agent Systems Are Redefining AI-Powered Research Meta Description: Discover how Salesforce’s Enterprise Deep Research (EDR) framework uses steerable multi-agent AI to transform enterprise research, enabling real-time human guidance and superior benchmark performance. Introduction: When Research Agents Learn to Take Directions In October 2025, Salesforce AI Research open-sourced Enterprise Deep Research (EDR)—a multi-agent system that accepts real-time human guidance during research execution. This isn’t just another “AI research assistant” but an intelligent partner that understands natural language commands like “focus on peer-reviewed sources” or “ignore outdated information.” Imagine having a tireless research team that …