EnergeticAI
EnergeticAI is an open-source AI library for Node.js that offers pre-trained models for embeddings, classification, and semantic search with fast performance and easy integration.
https://energeticai.org/
Product Information
Updated:Jul 16, 2025
EnergeticAI Monthly Traffic Trends
EnergeticAI received 242.0 visits last month, demonstrating a Significant Growth of 101.7%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is EnergeticAI
EnergeticAI is an open-source artificial intelligence library designed specifically for Node.js applications. It provides developers with pre-trained models and tools for various natural language processing tasks, including text embeddings, classification, and semantic search. EnergeticAI aims to make AI integration simple and efficient for Node.js developers, offering a balance of performance and ease of use.
Key Features of EnergeticAI
EnergeticAI is a TensorFlow.js-optimized library for serverless functions, offering fast cold-start performance, small module size, and pre-trained models. It provides embeddings and classification capabilities, with semantic search planned. EnergeticAI is designed for easy installation, quick deployment, and scalability with business-friendly licensing.
Pre-trained models: Includes ready-to-use models for embeddings and classification tasks in English
Optimized performance: Offers up to 67x faster cold-start speeds compared to TensorFlow.js, crucial for serverless environments
Minimal module size: Maintains a small footprint to reduce load times and resource usage
Easy integration: Simple npm installation process and compatibility with Node.js 18+
Use Cases of EnergeticAI
Recommendation systems: Utilize sentence embeddings to build content or product recommendation engines
Text classification: Categorize text inputs with minimal training examples for applications like sentiment analysis or content moderation
Serverless AI processing: Implement AI capabilities in serverless functions for tasks requiring quick startup and efficient resource usage
Pros
Significantly faster cold-start performance compared to TensorFlow.js
Optimized for serverless environments
Easy installation and integration with Node.js projects
Apache 2.0 licensed for business-friendly use
Cons
Limited to English language models currently
Semantic search feature still in planning stages
May have different licensing terms for some dependencies
How to Use EnergeticAI
Install EnergeticAI: Install the core EnergeticAI library from NPM by running: npm install @energetic-ai/core
Import required modules: Import the necessary modules, such as initClassifier from @energetic-ai/classifiers and modelSource from @energetic-ai/model-embeddings-en
Initialize the classifier: Create a classifier by calling initClassifier() with training examples and the modelSource
Classify text: Use the classifier.classify() method to categorize new text strings into predefined categories
Process results: Handle the classification results, which will be returned as objects containing the predicted label
Optimize for serverless: Take advantage of EnergeticAI's optimizations for serverless functions, including fast cold-start times and small bundle sizes
Explore other models: Experiment with other pre-trained models provided by EnergeticAI, such as embeddings for recommendations or semantic search (planned)
EnergeticAI FAQs
EnergeticAI is an open-source AI library optimized for serverless functions, offering fast cold-start times, small module sizes, and pre-trained models for Node.js applications.
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Analytics of EnergeticAI Website
EnergeticAI Traffic & Rankings
242
Monthly Visits
-
Global Rank
-
Category Rank
Traffic Trends: Jul 2024-Jun 2025
EnergeticAI User Insights
00:02:50
Avg. Visit Duration
5.85
Pages Per Visit
26.77%
User Bounce Rate
Top Regions of EnergeticAI
IN: 100%
Others: NAN%
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