来自MSN

从零学习大模型（13）——RAG 与 Agent 进阶：基于 LangChain 的落地实践 ...

在大模型技术落地的过程中，“如何让 AI 既懂知识又会做事” 始终是核心问题。RAG 通过检索增强解决 “知识时效性与准确性”，Agent 通过自主决策解决 “任务拆解与执行”，而 LangChain 作为连接两者的桥梁，将分散的技术模块整合为可落地的解决方案。从企业级知识库到个人智能助理，这种 ...
来自MSN

RAG、MCP和Agent到底是个啥?

有没有想过AI为啥能准确的生成信息？还能自主决策？这些神奇的功能背后，其实有很多有趣的技术在支撑着。今天，我们就来聊聊AI的三大组件RAG、MCP和Agent RAG旨在解决AI生成内容的准确性和可靠性问题。在许多应用场景中，AI生成的信息往往存在“幻觉”现象 ...
Destination CRM

Oracle Launches Generative AI RAG Agent and Enhanced AI Services at CloudWorld

At its Oracle CloudWorld user conference in Las Vegs, Oracle introduced Oracle Cloud Infrastructure (OCI) Generative AI (GenAI) Agents with retrieval-augmented generation (RAG) capabilities and ...
Geeky Gadgets

Master the Art of Building RAG AI Agents with n8n – Step-by-Step Guide

Have you ever found yourself frustrated with AI systems that confidently provide answers, only to realize they’re riddled with inaccuracies? It’s a common pain point for anyone working with generative ...
Forbes

Why RAG Alone Isn't Enough To Achieve Real ROI In The Agentic AI Era

If you looked under the hood of generative AI (GenAI) technologies over the last year or so, you probably came across the concept of retrieval augmented generation (RAG). RAG has gained a lot of buzz, ...