langgraph-course and LangGraph
About langgraph-course
emarco177/langgraph-course
Hands-on LangGraph course repo for building production-grade LLM agents with Agentic RAG, ReAct, and reflection workflows.
This repository is a hands-on guide for developers looking to build sophisticated AI agents. It provides practical code examples for creating applications that can understand queries, search for information, and refine their responses, similar to advanced chatbots or automated research assistants. Developers would use this to learn how to combine large language models with external tools and self-correction mechanisms to create more robust AI solutions.
About LangGraph
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.
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