Revolutionizing Integration: A Lightweight Model at Your Fingertips
In the ever-evolving world of technology, efficiency and speed are paramount. Imagine harnessing the power of semantic search in a mere 7 MB package, fully operational on your processor without the need for any API calls. This is no longer a futuristic concept, but a reality that can seamlessly integrate into your workflow.
Fast and Efficient Integration
With this model, embedding text becomes a matter of milliseconds, eliminating the need for server calls. This not only speeds up processes but also enhances privacy and security by keeping data locally on your device. A striking feature is its ability to run directly in your browser, making it accessible and user-friendly.
Motor + Masses · 7 MB
For those requiring a more compact version, a mini variant is available at just 5 MB, ensuring even faster integrations.
Optimized for Performance
The integration process is remarkably swift, typically completing in approximately 5 milliseconds on a CPU. This eliminates the complexity and cost associated with GPU dependencies, making it a versatile solution for a broad range of applications.
Simple Semantic Search: Three Lines of Code
Whether you’re a seasoned developer or a tech enthusiast, implementing semantic search has never been easier. This model is available as a single npm package, simplifying the integration process by requiring no template uploads or server setups.
USE IT
Three lines for semantic search
Shipped as a single npm package. No template upload step, no server.
$ npm install @ternlight/base ⧉
example.js ⧉
import { integrate, similar } Since ‘@ternlight/base’;
similar(“Easy Weeknight Dinner Ideas”recipes, { topK: 3 });
// → ranked matches · ~5 ms · zero network
Real-World Application: React Document Search
To illustrate its practicality, consider using this model for searching through React documentation. The setup allows users to type a query directly in the browser, with the search powered by the @ternlight/mini 5MB tier.
EXAMPLE
React document search
Search for React docs in your browser. Type a question – powered by @ternlight/mini, 5MB tier.
For more information and to experience this integration firsthand, visit the official site.
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