{"ok":true,"site":{"host":"paulkinlan.github.io","url":"https://paulkinlan.github.io/idb-vector/demo/","type":"live","desc":"Load real Wikipedia passage vectors into IndexedDB, then search them with the network off.","tools":[{"name":"wikipedia_search","kind":"act","impl":"declarative","description":"Semantic search over Wikipedia passage vectors stored in this browser; returns the five closest passages with cosine similarities.","inputSchema":{"type":"object","properties":{"query":{"type":"string","description":"How do plants turn sunlight into food?"}},"required":["query"]},"__source":"spec","__declarative":true,"page":"/idb-vector/demo/","pages":["/idb-vector/demo/"]},{"name":"run_cosine_benchmark","kind":"act","impl":"declarative","description":"Compare cosine scoring across IndexedDB, in-memory JavaScript, WASM-SIMD and WebGPU engines on a synthetic corpus; reports timings, storage costs and top-k agreement.","inputSchema":{"type":"object","properties":{"count":{"type":"string","enum":["1000","10000","100000"]},"dim":{"type":"string","enum":["32","128","384"]}}},"__source":"spec","__declarative":true,"page":"/idb-vector/demo/compute/","pages":["/idb-vector/demo/compute/"]}],"category":"Developer Tools","favicon":"/favicons/paulkinlan.github.io.png","apiSurface":"spec","toolCount":2}}