https://github.com/ravirch/agentic-ai-with-langgraph

Build agentic AI with LangGraph. Explore sequential & parallel workflows, LLM orchestration, and step-by-step AI agent development.
https://github.com/ravirch/agentic-ai-with-langgraph

agentic-ai agentic-workflow generative-ai langgraph langgraph-python

Last synced: 6 days ago
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Build agentic AI with LangGraph. Explore sequential & parallel workflows, LLM orchestration, and step-by-step AI agent development.

• Host: GitHub
• URL: https://github.com/ravirch/agentic-ai-with-langgraph
• Owner: ravirch
• Created: 2025-09-20T10:16:17.000Z (17 days ago)
• Default Branch: main
• Last Pushed: 2025-09-20T10:24:54.000Z (17 days ago)
• Last Synced: 2025-09-20T12:24:56.648Z (17 days ago)
• Topics: agentic-ai, agentic-workflow, generative-ai, langgraph, langgraph-python
• Language: Jupyter Notebook
• Homepage:
• Size: 39.1 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Agentic AI with LangGraph

A collection of **LangGraph projects** demonstrating the core concepts of **Agentic AI**, including **sequential workflows**, **parallel workflows**, and scalable **multi-agent orchestration**.  

This repository evolves as a **practical notebook hub** for building **AI agents**, **LLM-powered pipelines**, and **workflow automation** using LangGraph.

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## Index of Notebooks

1. **[Sequential Workflow in LangGraph](https://github.com/ravirch/Agentic-AI-with-LangGraph/blob/main/Notebooks/Sequential-workflows-in-Langgraph.ipynb)**  

2. **[Parallel Workflow in LangGraph](https://github.com/ravirch/Agentic-AI-with-LangGraph/blob/main/Notebooks/Parallel-Workflow-in-LangGraph.ipynb)**

3. **[Conditional Workflow in LangGraph](https://github.com/ravirch/Agentic-AI-with-LangGraph/blob/main/Notebooks/Conditional-Workflow-in-Langgraph.ipynb)**

4. **[Iterative Workflow in Langgraph](https://github.com/ravirch/Agentic-AI-with-LangGraph/blob/main/Notebooks/Iterative-Workflow-in-Langgraph.ipynb)**

> More notebooks will be added soon! Stay tuned for **branching workflows, hybrid workflows, memory-enabled agents, and end-to-end agentic AI systems**.

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## Goals of This Repository

- Serve as a **practical guide to Agentic AI** using LangGraph.  

- Showcase **workflow design patterns** (sequential, parallel, branching, hybrid).  

- Provide **hands-on Jupyter Notebooks** for experimentation.  

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## Tech Stack

- **LangGraph** – workflow orchestration for LLMs and AI agents  

- **Python** – implementation language  

- **Jupyter Notebooks** – step-by-step interactive demos  

- **LLMs** – for reasoning and responses  

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## Contributing

Contributions are welcome! Feel free to **open issues, suggest improvements, or add new workflow patterns** to make this repo more useful for the LangGraph and AI community.  

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