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LangChain

LangChain is an open-source framework and agent engineering platform for building agents and applications powered by large language models. It chains interoperable components and third-party integrations, providing standard interfaces for models, embeddings, vector stores, retrievers, tools, and other data sources. It supports sequential agentic workflows, context and tool-call orchestration, model substitution, and application development primarily through Python; the project also provides a separate JavaScript/TypeScript library. LangChain can be used standalone or with related tools for agent orchestration, evaluation, observability, debugging, and deployment.

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What LangChain is used for

5 uses taken from transcripts — each links to the moment in the video.

  • Coordinates agentic systems in which multiple steps occur in a defined sequence, such as a customer-support workflow.

  • Framework used to orchestrate agents and manage context and tool calls, especially in Python.

  • Provides the adapter used to wrap the Wikipedia lookup tool.

  • Agentic-workflow framework that the platform needed to support as its foundations changed.

  • Uses MLflow autologging to capture supported chain, graph, LLM, tool, and agent operations without changing the agent's logic.

Videos mentioning LangChain

5 in the library.