Demo Build · Knowledge Assistant · RAG

An AI assistant for your knowledge — on Telegram, by text or voice

A "second brain" I built for myself: ask questions across a Google Workspace Shared Drive and an Obsidian vault, straight from Telegram — typed or spoken. Every answer is grounded in my own notes and documents. The same system points at a team's sources.

RAGClaudeVector searchGoogle WorkspaceObsidianTelegramVoice (speech-to-text)Python
Architecture: a Google Workspace Shared Drive and an Obsidian vault feed a RAG index; a Telegram bot takes text or voice questions, retrieves the relevant passages and answers with Claude, grounded in your own sources.

Architecture — Google Drive & Obsidian → RAG index → Telegram (text & voice), with the source behind every answer.

The challenge

Useful knowledge ends up scattered — documents and spreadsheets in Google Drive, Markdown notes in Obsidian, things you wrote down somewhere months ago. Finding the right answer means digging across tools on a laptop, when half the time the question pops into your head on the move.

What I built

An AI assistant that indexes both a Google Workspace Shared Drive and an Obsidian vault, and answers questions over all of it from a Telegram chat — typed or spoken. I run it as a personal "second brain"; the same pipeline points at a team's own sources and channel.

How it works

Why it matters

Tech

Retrieval-Augmented GenerationClaude APIEmbeddings / vector searchGoogle Workspace API (Shared Drive)Obsidian (Markdown)Telegram Bot APISpeech-to-text (voice)Python

Built for my own knowledge base (Google Drive + Obsidian). The same pipeline points at your sources — Drive, Notion, Confluence, a docs folder — and the channel your team already uses.

Want your team's knowledge one message away?

I can wire this to your sources and channels in about two weeks. Just get in touch.

Get in touch →