https://github.com/cris-m/langgraph_examples
This repository contains a collection of examples demonstrating the usage of LangGraph in various applications. LangGraph is a powerful framework for building dynamic, decision-making workflows with natural language processing capabilities.
https://github.com/cris-m/langgraph_examples
duckduckgo helium kokoro langgraph llama3-2 llama3-2-vision selenium whisper
Last synced: 29 days ago
JSON representation
This repository contains a collection of examples demonstrating the usage of LangGraph in various applications. LangGraph is a powerful framework for building dynamic, decision-making workflows with natural language processing capabilities.
- Host: GitHub
- URL: https://github.com/cris-m/langgraph_examples
- Owner: cris-m
- Created: 2025-01-14T04:46:41.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-25T13:22:32.000Z (4 months ago)
- Last Synced: 2025-03-28T18:50:59.814Z (about 2 months ago)
- Topics: duckduckgo, helium, kokoro, langgraph, llama3-2, llama3-2-vision, selenium, whisper
- Language: Jupyter Notebook
- Homepage:
- Size: 2.72 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# **Examples Repository**
This repository contains a collection of examples demonstrating the usage of [LangGraph](https://github.com/langchain-ai/langgraph) in various applications. LangGraph is a powerful framework for building dynamic, decision-making workflows with natural language processing capabilities.
---
### **Overview**
LangGraph provides a way to model complex conversational flows, manage state, and integrate external tools and APIs seamlessly. The examples in this repository aim to showcase the versatility of LangGraph for different real-world use cases, from personal assistants to privacy-focused agents.
Each folder represents a different project or example that demonstrates how LangGraph can be combined with various technologies like OpenAI models, audio-based input/output, and external web services.
---
### **Featured Examples**
1. **Voice Agent**
This project demonstrates a voice-based agent that uses:
- **Llama 3.2 (3B)** for natural language understanding (via [Ollama](https://ollama.com/library/llama3.2))
- **[Whisper](https://github.com/openai/whisper)** for local audio transcription
- **[Kokoro](https://huggingface.co/hexgrad/Kokoro-82M)** for local text-to-speech (TTS)
- **DuckDuckGo** for privacy-focused web searches.
**Note**: This project runs 100% locally, using open-source models to ensure privacy and control over data.
[Link to Voice Agent Project](https://github.com/cris-m/langraph_examples/blob/main/voice_agent/voice_agent.ipynb)
2. **Vision Agent**
This project showcases a vision-based agent capable of analyzing both text and images. It uses:
- **Llama 3.2 Vision (11B)** via [Ollama](https://ollama.com/library/llama3.2-vision) for multimodal understanding.
- **LangGraph** to dynamically handle workflows and integrate visual and textual data.
- Built-in **image preprocessing**, where images are converted to Base64 strings for seamless compatibility.
- Advanced vision capabilities, including:
- Object detection and scene understanding.
- OCR for extracting text from images.
- Multimodal question answering combining text and visual inputs.
**Note**: This project ensures privacy by running all computations locally and leveraging cutting-edge models for visual analysis.
[Link to Vision Agent Project](https://github.com/cris-m/langraph_examples/blob/main/vision_agent/vision_agent.ipynb)
3. **Web Browsing Agent**
This project highlights a web browsing agent capable of navigating websites based on user input. It uses:
- **Llama 3.2 (via [Ollama](https://ollama.com/library/llama3.2))** for natural language understanding and decision-making.
- **[Helium](https://github.com/mherrmann/helium)** for lighter web automation with Python.
- **[Selenium](https://selenium-python.readthedocs.io/)** for browser automation.
The agent can:
- Open a web browser and navigate to specified URLs.
- Perform searches and interact with web elements dynamically.
- Execute tasks entirely on a local machine, ensuring privacy and security.
**Note**: This project runs 100% locally, leveraging powerful tools for automated web interaction.
[Link to Web Browsing Agent Project](https://github.com/cris-m/langraph_examples/blob/main/web_browsing_agent/web_browsing_agent.ipynb)
---
### **Future Updates**
This repository will be gradually updated with more examples showcasing the diverse applications of LangGraph. Stay tuned for new projects and enhancements!
---