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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 building blocks, components, and third-party integrations .
In this quickstart we'll show you how to: Get setup with LangChain, LangSmith and LangServe. Use the most basic and common components of LangChain: prompt templates, models, and output parsers. Use LangChain Expression Language, the protocol that LangChain is built on and which facilitates component chaining.
LangGraph. LangGraph is an extension of LangChain aimed at building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. LangGraph documentation is currently hosted on a separate site. You can peruse LangGraph tutorials here.
LangChain is a framework for developing applications powered by large language models (LLMs). For these applications, LangChain simplifies the entire application lifecycle: Open-source libraries: Build your applications using LangChain's open-source building blocks, components, and third-party integrations .
LangChain is a framework for developing applications powered by language models. It enables applications that: Are context-aware: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc.)
Get started with LangChain. 📄️ Introduction. LangChain is a framework for developing applications powered by language models. It enables applications that: 📄️ Installation. Supported Environments. 📄️ Quickstart. In this quickstart we'll show you how to:
Build your app with LangChain. Build context-aware, reasoning applications with LangChain’s flexible framework that leverages your company’s data and APIs. Future-proof your application by making vendor optionality part of your LLM infrastructure design.
All of LangChain’s reference documentation, in one place. Full documentation on all methods, classes, installation methods, and integration setups for LangChain. Reference Documentation
Read the docs. See a tutorial. Build a RAG app. Smart connections to any source of data or knowledge. See all our integrations. Why choose LangChain? LangChain is easy to get started with and gives you choice, flexibility, and power as you scale. Our Methods. Retrieval. Agents. Evaluation. LangChain FAQs.
Apr 5, 2024 · LangChain Expression Language (LCEL) is the fundamental way that most LangChain components fit together, and this section is designed to teach developers how to use it to build with LangChain's primitives effectively.
