LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence.
LangChain 由 Harrison Chase 于 2022 年 10 月作为开源软件项目推出,当时他在机器学习初创公司 Robust Intelligence 工作。
2. Introduction
Python Docs
https://python.langchain.com/docs/introduction/ GitHub
https://github.com/langchain-ai
LangChain is a framework for developing applications powered by large language models (LLMs).
LangChain 是一个开源框架,用于构建基于大型语言模型 (large language models, LLMs) 的应用程序。LangChain 提供了一个标准接口,用于将不同的大型语言模型连接在一起,以及与其他工具和数据源的集成。
LLM 是基于大量数据预先训练的大型深度学习模型,可以生成对用户查询的响应。LLM 擅长在常规上下文下对提示做出响应,但在未接受过训练的特定领域却很吃力。提示是人们寻求 LLM 回复时所用的查询,可以根据特定的结构和上下文对生成模型的输入进行细化的实践。
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LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain’s open-source building blocks, components, and third-party integrations. Use LangGraph to build stateful agents with first-class streaming and human-in-the-loop support.Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence. (使用 LangSmith 检查、监控和评估你的 chains,以便你可以持续优化和自信地部署。)Deployment: Turn your LangGraph applications into production-ready APIs and Assistants with LangGraph Cloud.