ParqDB – Vector search in the browser from Parquet over HTTP"

In plain words

ParqDB enables vector search of a 100,000-article Wikipedia index directly in users' browsers using WebAssembly. The system stores embeddings as Parquet files in object storage and uses HTTP Range requests to fetch only necessary data, eliminating the need for a server to process queries. Users type questions to search articles, with MiniLM embeddings and IVF-LVQ8 indexing powering the results. This approach keeps queries private while maintaining fast search performance entirely client-side.

written from the facts on this page · September 2026

From the sources

Type a question to search 100,000 Wikipedia articles. ParqDB builds an IVF-LVQ8 index over their MiniLM embeddings and publishes it to object storage as immutable Parquet files. Your browser embeds the query, reads only the required byte ranges, and ranks results in WASM. No query server sees yourfrom search.parqdb.io

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