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LangChain Samples is a collection of code examples, cookbooks, reference implementations, and workshop materials created by customer facing teams at LangChain. These resources are designed purely for educational and demonstration purposes, helping developers explore patterns, integrations, and best practices when building with LangChain and related tooling.

All code and materials published here are provided as-is, without official support. Any assistance is offered strictly on a best-effort basis, and users should not expect production-grade support or long-term maintenance.

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  1. cicd-pipeline-example cicd-pipeline-example Public

    🤖🚀 CI/CD pipeline for LangSmith deployments and evals 🦜

    Python 28 11

  2. assistants-demo assistants-demo Public

    This project demonstrates how to implement runtime configuration patterns in ReAct Agents and supervisor-style architectures using LangGraph. It shows the progression from hardcoded agents to flexi…

    Python 19 8

  3. A2A-langgraph A2A-langgraph Public

    This project demonstrates Agent-to-Agent (A2A) conversations using LangGraph with the A2A protocol. It includes implementations in both **Python** and **TypeSc…

    Jupyter Notebook 2

  4. deepagent-gen-ui deepagent-gen-ui Public

    A demonstration of with a DeepAgent that generates CSV and PDF reports in custom React components.

    Python 2

  5. deepagent-coder deepagent-coder Public

    A deepagent-based coding assistant

    Python 2

  6. planner-agent-workshop planner-agent-workshop Public

    A progressive workshop showcasing LangChain v1 capabilities, building from a simple agent to a sophisticated multi-agent system with memory, middleware, and MC…

    Jupyter Notebook 2 2

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