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- LangChain
Tools for every step of the agent development lifecycle -- built to unlock powerful AI in production Build faster with templates a visual agent IDE Reuse, configure, and combine agents to go further with less code Design agents that can handle sophisticated tasks with control Add human-in-the-loop to steer and approve agent actions
- Introduction | ️ LangChain
LangChain is a framework for developing applications powered by large language models (LLMs) LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source components and third-party integrations
- GitHub - langchain-ai langchain: Build context-aware reasoning . . .
LangChain is a framework for building LLM-powered applications It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves
- Introduction to LangChain - GeeksforGeeks
LangChain is an open-source framework designed to simplify the creation of applications using large language models (LLMs) It provides a standard interface for chains, many integrations with other tools, and end-to-end chains for common applications
- LangChain 框架介绍 | ️ Langchain
LangChain 是一个用于开发由语言模型驱动的应用程序的框架。 我们相信，最强大和不同的应用程序不仅将通过 API 调用语言模型，还将： 数据感知：将语言模型与其他数据源连接在一起。 主动性：允许语言模型与其环境进行交互。 因此，LangChain 框架的设计目标是为了实现这些类型的应用程序。 组件：LangChain 为处理语言模型所需的组件提供模块化的抽象。 LangChain 还为所有这些抽象提供了实现的集合。 这些组件旨在易于使用，无论您是否使用 LangChain 框架的其余部分。 用例特定链：链可以被看作是以特定方式组装这些组件，以便最好地完成特定用例。 这旨在成为一个更高级别的接口，使人们可以轻松地开始特定的用例。 这些链也旨在可定制化。
- Why LangChain? | ️ Langchain
LangChain offers standard interfaces for components that are central to many AI applications, which offers a few specific advantages: Ease of swapping providers: It allows you to swap out different component providers without having to change the underlying code
- How to use LangChain for LLM application development
Learn how to use LangChain for AI and LLM application development, with best practices, prompt and chain tools, and integration with Apache Spark and Kafka
- What is LangChain? - LangChain Explained - AWS
LangChain is an open source framework for building applications based on large language models (LLMs) LLMs are large deep-learning models pre-trained on large amounts of data that can generate responses to user queries—for example, answering questions or creating images from text-based prompts
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