piyushagni5/langgraph-ai
LangGraph AI Repository
This collection helps AI developers and researchers build advanced AI applications by providing practical examples and production-ready implementations. It takes various AI models and components as input and produces sophisticated AI systems like adaptive retrieval-augmented generation (RAG), interactive AI with human oversight, and complex AI workflow orchestrations. Individuals involved in AI system design, machine learning engineering, or research into advanced AI architectures would find this useful.
100 stars.
Use this if you are an AI developer or researcher looking for concrete examples and guidance to implement complex AI workflows, especially those involving advanced RAG, multi-agent systems, or human-in-the-loop interactions.
Not ideal if you are an end-user seeking a ready-to-use AI application or someone without a strong background in AI development and programming.
Stars
100
Forks
55
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 11, 2026
Commits (30d)
0
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