Agentic RAG System: Build a Context-Aware Q&A Assistant That Thinks Like You
7 hours ago 高效码农Building a Smart Q&A System from Scratch: A Practical Guide to Agentic RAG with LangGraph Have you ever wished for a document Q&A assistant that understands conversation context, asks for clarification when things are ambiguous, and can handle complex questions in parallel, much like a human would? Today, we will dive deep into how to build a production-ready intelligent Q&A system using 「Agentic RAG (Agent-driven Retrieval-Augmented Generation)」 and the 「LangGraph」 framework. This article is not just a tutorial; it’s a blueprint for the next generation of human-computer interaction. Why Are Existing RAG Systems Not Enough? Before we begin, let’s examine …
Agentic RAG & Specialized Models: 2025’s AI Revolution in Business Intelligence
7 months ago 高效码农2025 AI Trends: How Agentic RAG and Specialized Models Are Reshaping Business Intelligence ** | Last Updated: May 2025** Introduction: From Lab to Boardroom – The Quiet Revolution in Enterprise AI By 2025, businesses have moved beyond fascination with “chatty” general-purpose AI models. The new imperative? Deploying systems that solve real operational challenges. This article explores two transformative technologies—Agentic Retrieval-Augmented Generation (RAG) and Specialized Language Models (SLMs)—and their role in creating practical, business-ready AI solutions. Part 1: Solving AI’s Accuracy Crisis with RAG Technology 1.1 Why Do Generic AI Models Often Miss the Mark? When asked “What was Company X’s …