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.
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.
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Last pushed
Aug 01, 2025
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