Knowledge Base
RAG-powered semantic search · 66 documents · 1,847 chunks
1
daily briefing
12
4
auto finance
4
auto tasks
14
github
4
auto profile
27
Recent Documents
Morning Briefing — Today
2h agoYour 3 priorities today + finance check + red flags
Investor Feedback Summary
5h agoRohan asked about unit economics, CAC, retention curves...
Q2 Team Alignment
1d agoDecided: 3-person eng team, ship AI feature by May 15...
Finance Summary — April
1d agoIncome ₹93K, expenses ₹29K. Top categories: rent, groceries, subscriptions
Task Analytics — Last 30 Days
2d agoCompleted 47 tasks, 78% rate. Best day: Tuesday. Weak category: personal
GitHub Activity — April 10
2d ago42 commits across 3 accounts. Main PRs: wealth dashboard, email classifier
User Profile — Auto
3d agoActive goals, debts, savings. Updated 3x/day by cron.
Email: Proposal from Nitesh
3d agoQ2 partnership proposal, 3-year agreement, co-marketing + revenue share...
How it works
Every piece of data — emails, WhatsApp chats, GitHub activity, finance events — gets chunked, embedded with OpenAI text-embedding-3-small (1536 dimensions), and stored in pgvector. When Jarvis answers a question, it semantically searches this entire corpus.