🧠 Generative AI Project Template

A production-ready template to help you kickstart and organize your Generative AI projects with clarity and scalability in mind.
Designed to reduce chaos in early development and support long-term maintainability with proven structure and practices.

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📋 Project Overview

A production-ready template for building scalable Generative AI apps — structured, maintainable, and built on real-world best practices.

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🔧 Key Components

• config/ – Configuration outside the code
• src/ – Structured source with modular logic
• data/ – Organized repository for various data types
• examples/ – Implementations for guidance
• notebooks/ – Interactive exploration and analysis

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⚡ Best Practices

• Track prompt versions and results
• Separate configs using YAML files
• Structure code by clear module boundaries
• Cache responses to reduce latency and cost
• Handle errors with custom exceptions
• Use notebooks for rapid testing and iteration
• Monitor API usage and set rate limits
• Keep code and docs in sync

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🧭 Getting Started

1. Clone the repo
2. Install via requirements.txt
3. Set up model configs
4. Check sample code
5. Begin in notebooks

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💡 Development Tips

• Use modular structure
• Test components early
• Track with version control
• Keep datasets fresh
• Monitor API usage

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📁 Core Files

• requirements.txt – Package dependencies
• README.md – Project overview and usage
• Dockerfile – Container build instructions

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📄 License

This project is licensed under the Apache 2.0 License.
You are free to use, modify, and distribute with minimal restriction.

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