Jarvis OS, Interactive Demo

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Knowledge Base

RAG-powered semantic search · 66 documents · 1,847 chunks

1

daily briefing

12

whatsapp

4

auto finance

4

auto tasks

14

github

4

auto profile

27

email

Recent Documents

Morning Briefing — Today

2h ago
daily_briefing

Your 3 priorities today + finance check + red flags

Investor Feedback Summary

5h ago
whatsapp

Rohan asked about unit economics, CAC, retention curves...

Q2 Team Alignment

1d ago
whatsapp

Decided: 3-person eng team, ship AI feature by May 15...

Finance Summary — April

1d ago
auto_finance

Income ₹93K, expenses ₹29K. Top categories: rent, groceries, subscriptions

Task Analytics — Last 30 Days

2d ago
auto_tasks

Completed 47 tasks, 78% rate. Best day: Tuesday. Weak category: personal

GitHub Activity — April 10

2d ago
github

42 commits across 3 accounts. Main PRs: wealth dashboard, email classifier

User Profile — Auto

3d ago
auto_profile

Active goals, debts, savings. Updated 3x/day by cron.

Email: Proposal from Nitesh

3d ago
email

Q2 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.