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Articles

LangChain学习笔记07--底层代码解析之RunnableWithMessageHistory-CSDN博客

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By Messages Placeholder, Runnable Passthrough, Configurable FieldSpec
| CSDN
原创 于 2025-08-11 10:30:00 发布 · 336 阅读 · 8 · 1 · CC 4.0 BY-SA版权 版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。 文章标签： #前端 #服务器 #langchain RunnableWithMessageHistory 是 LangChain 中用于管理对话历史的核心组件， 它允许你将对话历史无缝集成到 Runnable 链中。源码描述如下： """Runnable that manages chat message history for another Runnable. A chat message history is a sequence of messages that represent a conversation.
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对话式RAG-支持聊天历史-CSDN博客

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By Messages Placeholder
| CSDN
添加聊天历史 我们构建的链直接使用输入查询来检索相关上下文。但在对话环境中，用户查询可能需要对话上下文才能被理解。例如，考虑以下交流： 人类: "什么是任务分解？" AI: "任务分解涉及将复杂任务分解为更小、更简单的步骤，以便使代理或模型更易于管理。" 人类: "常见的做法有哪些？" 为了回答第二个问题，我们的系统需要理解“它”指的是“任务分解”。 我们需要更新我们现有应用的两个方面： 1.提示词：更新我们的提示词以支持历史消息作为输入 2.上下文问题：添加一个子链，获取最新的用户问题，并在聊天历史的上下文中重新表述它，这可以简单的理解为构建一个新的历史感知检索器，之前，我们的流程是： 查询---》检索器 现在我们的流程是： 查询，聊天历史---〉大语言模型---->重新表述查询---->检索器 上下文问题 首先，我们需要定义一个子链，该子链获取历史消息和最新的用户问题，并在引用历史信息时重新表述问题。...
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Hands-on Tutorial: Building an AI Agent with human-in-the-loop control

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By Messages Placeholder
| SAP Software Solutions
Agentic AI is the start of a new era for business productivity. Using the Agent Builder in Joule Studio, businesses will be able to leverage AI agents to their fullest potential. "While many in the software industry talk about AI agents these days, I can assure you, Joule will be the champion of them all.
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