LangChain's role in AI orchestration
The developer tool LangChain is seen as a key component for AI application orchestration. It connects large language models to external systems like APIs, databases, and retrieval systems. Along with LlamaIndex, it is considered an essential skill for developers building chatbots and other AI applications that use proprietary data.
- LangChain was created by Harrison Chase as an open-source project in October 2022 while he was at the machine learning startup Robust Intelligence. The project was incorporated in April 2023, raising a $10 million seed round led by Benchmark, followed by over $20 million from Sequoia Capital at a valuation of at least $200 million. - The company was co-founded by Harrison Chase, who previously led machine learning at Robust Intelligence and the entity linking team at Kensho, and Ankush Gola, a former coworker from Robust Intelligence. By January 2026, the company had grown to 199 employees. - While LangChain is a versatile framework for a wide variety of workflows, LlamaIndex is more specialized for retrieval-augmented generation (RAG), focusing on indexing and retrieving information from data sources. Many production systems use both, with LlamaIndex handling data retrieval and LangChain managing the broader orchestration of workflows and AI agents. - A core component is the LangChain Expression Language (LCEL), a declarative syntax that allows developers to compose and stream chains of components, often using a pipe (`|`) operator. This is designed to simplify the construction of complex applications and make the transition from prototype to production smoother. - LangChain provides tools for building applications with "agents," which use an LLM to decide on a sequence of actions. These agents can utilize tools, memory, and planning to interact with the external world and accomplish tasks. - To support production applications, LangChain introduced LangSmith, a closed-source platform for debugging, testing, evaluating, and monitoring LLM applications. It also offers LangServe for deploying LCEL chains as a production-ready API. - The framework is designed to be modular, providing components for prompt management, chains, memory, and data connection. This structure allows developers to create complex workflows by linking together different LLMs, APIs, and data sources. - By July 2025, LangChain was reportedly raising funds at a valuation of approximately $1 billion, with an estimated annual recurring revenue between $12 million and $16 million, largely driven by its LangSmith product. Its total funding raised is reported to be $260 million as of October 2025.
