01 // BUSINESS PROBLEM & STRATEGY
THE PROBLEM THAT NEEDED SOLVING
Meetings are data-rich but forgetful. Standard tools are slow, expensive, raise privacy concerns by sending company assets to cloud for vectorization.
WHAT WAS ACTUALLY IMPLEMENTED
Built 'Local-First' intelligence hub. Transcribes via Deepgram Nova-2 in real-time. Grounds text against personal docs using vector search running entirely in browser.
02 // TECHNICAL IMPLEMENTATION & ARCHITECTURE
Browser-Side RAG & Real-time Intelligence
'Privacy-First' RAG was the challenge. Instead of cloud DB, implemented browser-side search with Dexie.js. Offloading vector indices to client achieved sub-10ms retrieval. Sensitive briefs never leave user's machine.
Real-time Context Injection
By monitoring transcription streams, the system proactively fetches documents relevant to the current conversation pulse without manual search.