EnergeticAI: Empowering Node.js Apps with Open-Source AI
EnergeticAI is a remarkable open-source AI solution that has been specifically designed to enhance the capabilities of Node.js applications. It brings a plethora of advantages to the table, making it a go-to choice for developers looking to integrate advanced AI functionality.
Overview
EnergeticAI stands out with its impressive performance metrics. It is optimized for serverless environments, ensuring a fast cold-start, which is crucial in many real-world applications. With a small module size, it doesn't bloat your application's footprint. Moreover, it comes with pre-trained models, saving you the hassle of extensive training from scratch. This allows you to hit the ground running and start leveraging its capabilities almost immediately.
Core Features
One of the key features is its pre-trained embeddings. These embeddings are highly useful for building recommendations and performing various other tasks. For example, you can use them to classify text into categories with just a few training examples, as demonstrated by the ClassifiersEnglish functionality. Additionally, the planned Semantic SearchEnglishPlanned feature aims to provide answers based on meaning using question-answering models, which will further expand its utility.
The performance aspect cannot be overlooked. EnergeticAI maximizes cold-start performance while minimizing module size. When compared to Tensorflow.js, it shows significant speed improvements. In fact, it can be up to 67x faster in serverless functions, where cold-start speed dominates the inference speed. This is clearly evident from the benchmark tests conducted on an M1 Max Macbook Pro.
Basic Usage
Getting started with EnergeticAI is a breeze. You can install it in seconds from NPM by running the command: npm install @energetic-ai/core. However, do note that it requires Node 18+. Once installed, you can start using its various functions. For instance, you can import the necessary modules like so:
import { initModel, distance } from "@energetic-ai/embeddings";
import { modelSource } from '@energetic-ai/model-embeddings-en';
(async () => {
const model = await initModel(modelSource);
const [hello, world] = await model.embed([
"hello",
"world"
]);
console.log(distance(hello, world));
})();
This simple code snippet demonstrates how you can embed text and calculate the distance between the embeddings.
In conclusion, EnergeticAI offers a powerful and efficient way to incorporate AI capabilities into your Node.js apps, with its combination of great performance, useful features, and easy usability.
