Databricks research shows multi-step agents consistently outperform single-turn RAG when ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
来自MSN

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

深入理解 RAG 的精细化流程与 Agent 的框架逻辑，才能真正发挥技术价值。 RAG 的精细化落地：从文档处理到检索优化 RAG 的效果不仅取决于 “是否检索”，更取决于 “检索的质量”。 基于 LangChain 实现高性能 ...
InfoQ

Building Hierarchical Agentic RAG Systems: Multi-Modal Reasoning with Autonomous Error Recovery

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.
电子工程专辑

OpenClaw(clawdbot)是什么？跟Skills/MCP/RAG/Memory/AI Agent有什么关系?

最近爆火的OpenClaw，具象化体现了什么叫程序员最头疼的事情就是命名。毕竟我做视频期间，它就已经改了两次名。 它的本质是什么？跟大模型和前段时间很火的skills, RAG, mcp, memory 又有什么关系？ 接下来我们就一次性将这些概念串起来带大家看清楚，来一波 ...
来自MSN

AI 系统四大核心模块：拆解 Agent、RAG、Skill，掌控大模型落地确定性

这两年AI落地领域，新概念层出不穷——Agent、Skill、Workflow、RAG、MCP，从业者常陷入“追新焦虑”，却忽略了这些技术本质都是为了解决同一个核心问题：如何让大模型从“能说话”变成“能干活”，在真实业务中稳定创造价值。 早期我们对大模型充满幻想 ...
VentureBeat

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...
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 ...
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 ...