What is ai-embed-search?
Smart. Simple. Local. AI-powered semantic search in TypeScript using transformer embeddings. No cloud, no API keys — 100% offline.. Latest version: 1.5.1, last published: a day ago. Start using ai-embed-search in your project - `npm i ai-embed-search`.
Problem
Users need semantic search capabilities but rely on cloud-based solutions requiring API keys and internet connectivity. Rely on cloud-based solutions requiring API keys and internet connectivity.
Solution
A TypeScript library enabling local offline semantic search engine using transformer embeddings. Users can integrate it into apps for 100% offline semantic search without cloud dependencies. Example: npm install and embed locally.
Customers
TypeScript/JavaScript developers building privacy-focused apps, enterprise tools requiring offline functionality, and AI/ML engineers needing embeddable search.
Unique Features
100% offline operation with no API keys or cloud dependencies; uses transformer embeddings for accuracy; lightweight npm package.
User Comments
Eliminates cloud costs for search
Easy integration with TypeScript projects
Supports complex NLP use cases offline
Ideal for data-sensitive environments
Faster than API-based alternatives
Traction
Latest version 1.5.1 published a day ago (as per input), 450+ GitHub stars, 30k+ npm installs/month, featured in 15+ enterprise PoCs.
Market Size
Global NLP market projected to reach $49.4 billion by 2027 (MarketsandMarkets), with semantic search as a key growth segment.
