Sub-12ms Vector Search
Performing semantic vector embeddings and similarity searches entirely inside local IndexedDB tables with sub-12ms latency.
Arivu's proprietary product built around non-linear human thought - featuring dual-tier speech-to-text recognition, associative memory graphs, and on-device IndexedDB vector search with sub-12ms latency.
IndexedDB local vector search latency
On-device speech & vector processing
Non-linear node memory edges
Proprietary in-house workspace product
Performing semantic vector embeddings and similarity searches entirely inside local IndexedDB tables with sub-12ms latency.
Converting spoken voice notes into clean structured markdown notes with instant local keyword indexing.
Connecting related note nodes dynamically based on semantic similarity rather than rigid folder trees.
NeoNote gives users full ownership over their voice notes and knowledge graphs with complete zero-cloud data privacy.
Building initial native Android voice note capture engine with SQLite storage.
Refactoring cross-platform UI to Flutter with 60fps gesture animations.
Integrating local-first vector search engine with sub-12ms query speeds.
Launching non-linear associative graph visualization across note nodes.
Local-first vector search running on-device inside IndexedDB for NeoNote with sub-12ms latency and 100% data privacy.
1import { IndexedDBVectorStore } from "@arivu/vector-idb";23export async function searchLocalMemoryGraph(prompt: string) {4 const embedding = await generateLocalEmbedding(prompt);5 return await IndexedDBVectorStore.search({6 vector: embedding,7 topK: 5,8 threshold: 0.829 });10}All voice notes, text embeddings, and vector indices stay exclusively on your local device.
Sub-12ms local semantic search speed verified across mobile and web viewports.
Proprietary in-house software demonstrating our product execution capability.
Built around non-linear human thought - featuring dual-tier speech-to-text recognition, associative memory graphs, and on-device IndexedDB vector search.
NeoNote performs speech recognition, vector embeddings, and similarity searches entirely on-device inside encrypted IndexedDB tables, guaranteeing zero cloud transmission.