100,000 Wikipedia articles online
SEARCH WIKIPEDIA. THE QUERY ENGINE RUNS IN YOUR BROWSER.
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 your data.
LEGACYbrowser ──QUERY──> vector DB ──READ──> object storageVECTOR DB ×
PARQDBbrowser + WASM ──HTTP RANGE──> object storageDIRECT
02 / query profiler
AWAITING EXECUTIONrequests0
transferred0 B
selected cids—
candidates—
query time—
EMBEDtext → 384d in ONNX/WASM
DISCOVERmanifest.json
ROUTEglobal LVQ8 centroid top-nprobe
PRUNEfooter → selected row groups
RANKLVQ8 distance + bounded top-k
LOOKUPdoc_id → Wikipedia rows
03 / HTTP trace
METHOD · OBJECT · BYTE RANGE · RTT$ waiting for range requests_
04 / WIKIPEDIA RESULTS · RANGE-LOOKED-UP BY DOC_ID
$ no rows materialized