I pre-compute embeddings for all 31,000 Bible verses offline using BGE-large-en-v1.5. Each verse becomes a 1024-dimensional vector stored as JSON, compressed into ZIP files by book. When you visit the site, your browser downloads Transformers.js and the BGE model.
The model generates an embedding for your query, then finds similar verses using cosine similarity against the cached embeddings. Everything happens in your browser.
The app is designed to search Bible verses by semantic meaning, not just keywords. There's a separate tab to read daily passages with church fathers commentary from 15+ sources, based on a read the bible in a year plan.
Free to use, no sign-in features or anything like that. Try it out biblos.app. I'd appreciate feedback on the search experience, especially on mobile devices! Happy to discuss the technical details or help anyone building similar browser-based ML applications.
