WIKI SEARCH

WIKI SEARCH

NO QUERY SERVER. JUST OBJECT STORAGE + YOUR BROWSER.

SEARCH ↵ RANDOM QUERY

QUERY IDLE0%

VIEW RESULTS ↓

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 EXECUTION`

requests0

memory range hits0

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`0 MEM HITS · ORDERED CACHE + NETWORK EVENTS`

$ waiting for range requests\_

04 / WIKIPEDIA RESULTS · RANGE-LOOKED-UP BY DOC\_ID

$ no rows materialized