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https://github.com/isi-mube/nextibs-lessons

This repository contains materials for classes at Next International Business School.
https://github.com/isi-mube/nextibs-lessons

data-visualization environment machine-learning streamlit

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This repository contains materials for classes at Next International Business School.

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README

          


RAG Assistant App

## Objectives

- Understand the basics of Streamlit
- Learn how to create interactive web applications
- Integrate Streamlit with data science and machine learning workflows
- Deploy Streamlit applications
- Explore Generative AI, RAG, Agents, and LangChain

## Prerequisites

- Basic knowledge of Python programming and Environments
- Familiarity with data science and analytics concepts

## Course Content

- Introduction to Streamlit
- Basic Streamlit Components
- Layouts and Containers
- Handling User Input
- Displaying Data
- Integrating with Machine Learning Models
- Deploying Streamlit Apps
- Introduction to Generative AI
- Working with Agents
- Using LangChain for Advanced Applications

## Resources

- [Streamlit Documentation](https://docs.streamlit.io/)
- [Streamlit GitHub Repository](https://github.com/streamlit/streamlit)
- [Streamlit Community Forum](https://discuss.streamlit.io/)
- [LangChain Documentation](https://langchain.readthedocs.io/)
- [LangChain GitHub Repository](https://github.com/hwchase17/langchain)

## License

This project is licensed under the MIT License. See the [MIT License]([LICENSE](https://choosealicense.com/licenses/mit/)) file for more details.