Generative_ai_project

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generative_ai_project is an Open Source template that helps kickstart Generative AI projects with a production-ready structure. It provides a scalable framework for building AI applications, reducing development chaos and supporting long-term maintainability.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is generative_ai_project?

The generative_ai_project is an open-source, production-ready template designed to streamline the development of Generative AI applications. It offers a structured and scalable framework, aiming to reduce complexity during early development phases and ensure long-term maintainability. Key components include YAML configurations for models and prompts, dedicated folders for data, examples, notebooks, and tests, and a core `src/` directory housing agents, memory modules, pipelines, retrieval systems, skills, multimodal processing, prompt engineering, LLM routing, fallback logic, guardrails, and utility functions. The template emphasizes best practices such as prompt version tracking, modular code, response caching, error handling, and API usage monitoring, making it ideal for developers looking to build robust and organized AI projects.

Best used for

Ideal for developers and data scientists who need to quickly set up structured Generative AI projects, ensure scalability, and maintain code clarity. Especially valuable for those looking to implement best practices like prompt versioning, modular design, and robust error handling from the outset of their AI development.

Common actions

build AI projects

organize AI development

prototype AI models

manage AI configurations

scale AI applications

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Capabilities

Key features

Production-ready template
Modular code structure
Prompt version tracking
Response caching
LLM routing
Guardrails

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming languages are supported by this template?

While the template itself is a structural guide, the core logic and examples provided are primarily in Python, which is the dominant language for Generative AI development. Users can integrate other languages as needed for specific components or microservices within the structured framework.

Does this template include pre-built models or do I need to integrate my own?

This template provides the structure for integrating various LLMs (like OpenAI, Anthropic) and custom models through its 'llm/' routing module. It does not come with pre-built models but offers the architecture to easily connect and manage your chosen AI models.

How does the template help with prompt engineering and version control?

The template includes a dedicated 'prompt_engineering/' module for managing prompt chaining, templates, and few-shot logic. It also emphasizes best practices like tracking prompt versions and results, allowing developers to iterate and manage changes effectively within their projects.

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