langgraph-course and agentic_ai_lab
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 agentic_ai_lab
ksmooi/agentic_ai_lab
This project offers hands-on examples for LangChain and LangGraph, complementing their textbooks with practical guides on workflows, tools, and agentic RAG techniques.
This project offers hands-on examples and practical guides for building advanced AI applications using LangChain and LangGraph. It takes foundational knowledge from documentation and provides interactive Kaggle notebooks to apply concepts like text splitting, data indexing, retrieval, and designing conversational AI tools. The typical end-user for this resource is a developer or AI engineer looking to implement sophisticated AI workflows.
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