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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.
🤔 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 .
architecture to get you 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 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 .
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.
These applications use a technique known as Retrieval Augmented Generation, or RAG. This tutorial will show how to build a simple Q&A application over a text data source. Along the way we’ll go over a typical Q&A architecture and highlight additional resources for more advanced Q&A techniques.
Jun 25, 2024 · LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications.
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.)
May 11, 2024 · 1. Introduction. In this tutorial, we’ll examine the details of LangChain, a framework for developing applications powered by language models. We’ll begin by gathering basic concepts around the language models that will help in this tutorial.
