LangChain(@LangChainAI)

How @OrangeBusiness evaluate agents in their enterprise AI platform: ✅ RAG quality: golden datasets...

6.6内容质量

TL;DR · AI 摘要

LangChain on X: "How @OrangeBusiness evaluate agents in their enterprise AI platform: ✅ RAG quality: golden datasets, re...

核心要点

  • 主题聚焦:How @OrangeBusiness evaluate agents in their ent
  • 来源:LangChain(@LangChainAI),建议结合原文判断细节。
  • AI 分析暂不可用,本条为保底评分与摘要。
#AI#产品
打开原文

LangChain on X: "How @OrangeBusiness evaluate agents in their enterprise AI platform: ✅ RAG quality: golden datasets, retrieval recall, answer faithfulness ✅ Agent behavior: tool selection accuracy, prompt injection robustness ✅ Production traces: latency, cost, failed runs, human feedback All in… / X

LangChain

@LangChain

How

@

OrangeBusiness

evaluate agents in their enterprise AI platform: ✅ RAG quality: golden datasets, retrieval recall, answer faithfulness ✅ Agent behavior: tool selection accuracy, prompt injection robustness ✅ Production traces: latency, cost, failed runs, human feedback All in LangSmith, with regression evals before changes reach production, and LangChain for model neutrality & portability

langchain.com/blog/how-orang…

?

How Orange Business Built Live Intelligence with LangChain and LangSmith

From langchain.com

1:01 PM · Oct 14, 2026

·

6,288

Views

16

2

31

15