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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. Learn more about 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 building blocks, components, and third-party integrations.
LangChain is an open source orchestration framework for the development of applications 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 virtual agents .
🤔 What is LangChain? 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 .
Get started with LangChain, LangGraph, and LangSmith to enhance your LLM app development, from prototype to production. An all-in-one developer platform for every step of the llm-powered application lifecycle, whether you’re building with LangChain or not.
LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.
LangChain is an open-source framework designed to facilitate the development of applications powered by large language models (LLMs). It offers a suite of tools, components, and interfaces that simplify the construction of LLM-centric applications.
Feb 26, 2024 · LangChain is a modular framework that integrates with LLMs. It’s a standardized interface that abstracts away the complexities and difficulties of working with different LLM APIs — it’s the same process for integrating with GPT-4, LLaMA, or any other LLM you want to use.
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.)
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.
