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.
No commits in the last 6 months.
Use this if you are a developer looking for practical, interactive examples to build and integrate AI tools and workflows using LangChain and LangGraph.
Not ideal if you are a beginner without prior theoretical knowledge of LangChain or LangGraph, as it assumes familiarity with their core principles.
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Apache-2.0
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Last pushed
Feb 19, 2025
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