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 ...
VentureBeat

LangChain 1.0 alpha consolidates agent design, reducing adoption risk for enterprises

The emerging field of AI orchestration just got an additional boost of confidence with the alpha release of LangChain’s two flagship platforms, LangGraph and LangChain version 1.0. Graduating to a 1.0 ...

8 billion tokens a day forced AT&T to rethink AI orchestration — and cut costs by 90%

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.
Geeky Gadgets

LangChain 1.0 Released : How LangChain Became a $1.25B AI Powerhouse

What if the tools you use to build AI agents could be faster, smarter, and more intuitive than ever before? With the release of LangChain 1.0, this isn’t just a possibility, it’s a reality. In just ...