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- LangChain
LangChain's products work seamlessly together to provide an integrated solution for every step of the application development journey When you use all LangChain products, you'll build better, get to production quicker, and grow visibility -- all with less set up and friction
- 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
- 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 框架介绍 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。
- 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
- 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
- What Is LangChain? - IBM
LangChain is an open source orchestration framework for application development using large language models (LLMs) Available in both Python- and Javascript-based libraries, LangChain’s tools and APIs simplify the process of building LLM-driven applications like chatbots and AI agents
- How to Build Agentic AI with LangChain and LangGraph
Now that you’ve built a working agent, let’s explore where LangChain + LangGraph truly shine in the real world Applications of LangGraph + LangChain LangChain + LangGraph provide a modular and graph-based design that makes them ideal for building reliable, stateful workflows that can reason, act, and adapt
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