agentic_ai_lab and agentic_langgraph

agentic_ai_lab

Emerging

agentic_langgraph

Experimental

Maintenance 0/25

Adoption 4/25

Maturity 16/25

Community 13/25

Maintenance 10/25

Adoption 0/25

Maturity 11/25

Community 0/25

Stars: 8

Forks: 2

Downloads: —

Commits (30d): 0

Language: —

License: Apache-2.0

Stars: —

Forks: —

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stale 6m No Package No Dependents

No Package No Dependents

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.

AI development LLM application building conversational AI data retrieval agentic workflows

About agentic_langgraph

maltsev-dev/agentic_langgraph

Practical LangGraph experiments: stateful workflows, RAG systems, memory, MCP, and multi-agent architectures.

Related comparisons

agentic_ai_lab and langgraph-course agentic_ai_lab and langgraph-course

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