Harrison Chase

LangChain is an open-source framework for developing applications powered by large language models (LLMs). Founded in 2022, the company provides a software library that abstracts away the complexity of integrating LLMs into production applications. The core product enables developers to chain together multiple LLM calls and external data sources, reducing engineering overhead for tasks like document analysis, question-answering systems, and autonomous agents. LangChain's approach centers on modularity and composability, allowing developers to build custom workflows without managing low-level API interactions. The framework supports multiple LLM providers including OpenAI, Anthropic, and open-source models, making it vendor-agnostic. The platform has gained significant adoption within enterprise development teams and startups building AI-powered features. LangChain went through a Series A funding round, reaching a valuation of $200 million with total funding of $35 million. The company competes in the rapidly growing AI infrastructure space alongside similar orchestration tools and LLM application frameworks. Notable use cases span document retrieval systems, chatbot development, and data analysis applications. The company's growth trajectory reflects strong developer adoption and increasing enterprise demand for LLM application development tools. LangChain operates in the AI developer tools category, which remains highly competitive yet nascent. LangChain's open-source-first strategy combined with enterprise-grade tooling positions it as a foundational infrastructure layer for LLM application development.