EnergeticAI

Overview of EnergeticAI - Open-Source AI Optimized for Serverless Node.js Apps

EnergeticAI brings the power of open-source AI to Node.js apps by optimizing TensorFlow.js for serverless environments. It enables faster cold starts, smaller module sizes, and comes with pre-trained models - so developers can build AI-powered apps quickly and efficiently.

How Does It Work?

EnergeticAI optimizes TensorFlow.js in the following ways:

• Faster cold start times by reducing model loading time
• Smaller module size for faster deployment
• Bundled pre-trained models so you can use AI right away

It also uses TensorFlow.js under the hood so you get all the benefits of that library and integration with other TensorFlow tools.

Key Features and Benefits

• Pre-trained models - Embeddings, classifiers, and more for common AI tasks
• Faster cold starts - Up to 67x faster than regular TensorFlow.js
• Smaller module size - Lightweight for serverless deployments
• Easy to use - Install in seconds from NPM
• Scalable - Apache 2.0 licensed with business-friendly pricing
• Optimized performance - Inference speed tuned for serverless

Use Cases and Applications

EnergeticAI is great for:

• Recommendation engines - Use pre-trained embeddings to find similar content
• Text classification - Categorize text with just a few training examples
• Semantic search - Build question-answering systems based on meaning
• Any serverless AI app - Faster performance in AWS Lambda, Vercel, etc.

It enables real-time and scalable AI in chatbots, search, personalization, and more.

Who is EnergeticAI For?

EnergeticAI is designed for:

• Node.js developers building serverless apps
• Startups who want to add AI capabilities quickly
• Teams that need an optimized TensorFlow.js solution
• Organizations looking to scale AI across serverless infra

Plans and Pricing

EnergeticAI is available on NPM with Apache 2.0 open-source licensing. Some dependencies may differ.

Getting Started

To start using EnergeticAI:

• Install from NPM - npm install @energetic-ai/core
• Import models and libraries
• Initialize models and make predictions
• Scale with business-friendly licensing

EnergeticAI requires Node.js 18+.

Support Options

As open-source software, EnergeticAI is supported through community channels like GitHub and StackOverflow.

Paid support plans are available via:

• Real World Privacy - The creators of EnergeticAI

Integrations

EnergeticAI integrates seamlessly with:

• Node.js for app development
• Serverless platforms like AWS Lambda, Vercel, Netlify, etc.
• Other TensorFlow.js models and libraries
• TensorFlow ecosystem for model training/serving

API Access

EnergeticAI provides a straightforward API for loading models and making predictions.

Key capabilities:

• initModel - Load and initialize models
• predict - Make predictions/inferences
• embed - Generate embeddings for text

What Users Are Saying

"We switched from regular TF.js to EnergeticAI and immediately saw faster cold starts in our production serverless environment."

"The small bundle size helped us reduce slug size and deploy our AI API faster."

"We love the pre-trained models - we were able to add recommendations quickly without any model training."

Frequently Asked Questions

How is this different from TensorFlow.js?

EnergeticAI optimizes TensorFlow.js specifically for serverless environments by improving cold start, reducing size, and bundling models.

Do I need machine learning experience?

No - EnergeticAI's pre-trained models allow anyone to leverage AI quickly.

What serverless platforms are supported?

EnergeticAI will work in any Node.js serverless environment like AWS Lambda, Vercel, Netlify, Cloudflare Workers, etc.

What models are included?

Initial release includes pre-trained embeddings model for recommendations. Classifiers coming soon.