LangChain provides a composable framework for building, running, and managing large language model (LLM) applications, enabling developers to leverage their data and APIs effectively. The platform addresses the challenges of application lifecycle management by offering tools for orchestration, deployment, and performance monitoring, ensuring reliable and scalable LLM solutions.
Funding
$35M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Building applications with Large Language Models (LLMs) presents challenges in managing the application lifecycle, including orchestration, deployment, and performance monitoring. Developers need tools to effectively leverage their data and APIs to create reliable and scalable LLM solutions.
Solution
LangChain offers a composable framework designed to streamline the development, deployment, and management of LLM-powered applications. The platform provides tools for building context-aware applications that leverage company data and APIs, while also ensuring vendor optionality in LLM infrastructure. LangChain's suite of products can be used independently or together to guide users through building, running, and managing their LLM applications. LangGraph, an orchestration framework, enables the creation of controllable agentic workflows. LangSmith provides a platform for debugging, testing, and monitoring LLM applications, regardless of whether they are built with a LangChain framework.
Target Audience
LangChain targets developers, from startups to enterprises, who are building and deploying applications powered by Large Language Models.
Features
- Composable framework for building LLM applications.
- LangGraph orchestration framework for controllable agentic workflows.
- LangSmith platform for debugging, testing, and monitoring LLM applications.
- Vendor optionality in LLM infrastructure design.
- Tools for building context-aware applications that leverage company data and APIs.
- APIs to design agent-driven user experiences featuring human-in-the-loop, multi-agent collaboration, conversation history, long-term memory, and time-travel.
- Fault-tolerant scalability for deployed applications.