Abeshith/LangGraph

🚀 Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging techniques. From basics to advanced workflows with real-world examples.

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This project helps Python developers create advanced AI applications that can hold conversations, interact with external systems, and reason using various data sources. It provides hands-on examples for building systems where multiple AI agents work together, retrieve information from documents or databases, and use custom tools. The output is a robust, stateful AI application capable of complex workflows.

No commits in the last 6 months.

Use this if you are a Python developer looking to build sophisticated, multi-step AI applications that go beyond simple prompt-response interactions.

Not ideal if you are a business user or someone without programming experience, as this is a developer-focused learning resource.

AI application development Multi-agent systems LLM orchestration Stateful AI RAG systems
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 7 / 25
Community 8 / 25

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Last pushed

Aug 01, 2025

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