SemanticFinder, semantic search in the browser with transformers.js

In plain words

SemanticFinder is a browser-based semantic search tool that runs entirely in the frontend using transformers.js and the all-MiniLM-L6-v2 model. Users input text and a query term to find semantically relevant results. The tool caches embeddings for faster repeated searches and offers customizable segment lengths to balance speed and precision. It is designed for anyone needing semantic search capabilities without server-side processing.

written from the facts on this page · September 2026

From the sources

Semantic search right in your browser! Calculates the embeddings and cosine similarity client-side without server-side inferencing, using a quantized version of sentence-transformers/all-MiniLM-L6-v2 . Demo for this blog post , building on two former ones [1] , [2] about vector search. Download this page . See other fast (pre-index) examples: IPCC Report 2023 (85 pages) , IPCC Summary 2023 (35 pages) . For a more refined search, enter a low character count; for a coarser search, enter a high one. Simply copy and paste any text and hit Submit. Demo by Dominik Weckmüller @DomeGIS | geo.rocks | LinkedIn |from geo.rocks

In the maker’s words, at launch

Hi folks! I created a frontend-only live semantic search engine based on transformers.js and sentence-transformers/all-MiniLM-L6-v2. Simply pour in your text and a query term. Hit enter and watch the search engine in action! It's highly customizable and stores the embeddings in a variable so that consecutive…

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