It is a suite of tools designed to support developers throughout the lifecycle of building, running, and managing large language model (LLM) applications.
It is a suite of tools designed to support developers throughout the lifecycle of building, running, and managing large language model (LLM) applications. LangChain provides a composable framework for building with LLMs, enabling developers to create context-aware, reasoning applications that leverage company data and APIs. LangGraph, part of the suite, is an orchestration framework for creating controllable agentic workflows, while LangGraph Platform offers infrastructure purpose-built for deploying LLM applications at scale. LangSmith, another key component, is a developer platform for debugging, testing, collaborating, and monitoring LLM applications, regardless of whether they are built with LangChain frameworks.
LangChain’s products are designed to future-proof applications by incorporating vendor optionality into LLM infrastructure design. LangGraph Platform’s APIs enable the creation of agent-driven user experiences, featuring human-in-the-loop workflows, multi-agent collaboration, conversation history, long-term memory, and time-travel capabilities. LangSmith enhances development workflows by adding engineering rigor, enabling faster shipping of reliable LLM applications through its debug, test, deploy, and monitoring tools.
The suite is used by teams of all sizes and industries, from startups to enterprises, to drive operational efficiency, improve discovery and personalization, and deliver premium products. Companies like Retool and Elastic have reported significant improvements in accuracy, performance, and development speed using LangChain and LangSmith. LangChain’s tools can be used independently or combined for greater impact, guiding developers from prototyping to production. With over 1 million developers in its community, LangChain is a leading reference architecture for enterprises and a key player in the generative AI space.
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