Document Q&A chatbot with Gemini AI and Supabase vector search for Telegram
Transform your Telegram account into an intelligent personal librarian that answers questions directly from your uploaded PDF documents. This workflow leverages Google Gemini and Supabase to create a robust RAG system, providing formatted, context-aware responses to your queries in real-time. It effectively bridges the gap between static file storage and interactive conversational knowledge.
Start BuildingWhat This Recipe Does
The AI Document Assistant transforms Telegram into a powerful mobile workstation for managing business intelligence and document processing. Instead of manually sorting through files or waiting until you are at a computer to analyze data, this automation allows you to upload documents directly through a chat interface for immediate extraction and synthesis. By combining advanced document processing with external data sources like weather information and persistent storage, it functions as a centralized intelligence hub that is accessible from anywhere. Business leaders and field teams can use this tool to instantly summarize lengthy reports, verify site conditions, and store critical information in a structured database without opening a single spreadsheet. The automation handles the heavy lifting of data extraction and categorization, ensuring that your team stays productive while on the move. By bridging the gap between chat platforms and structured data storage, this solution eliminates administrative bottlenecks and accelerates decision-making cycles across the entire organization.
What You'll Get
Forms, dashboards, and UI components ready to use
Background automations that run on your schedule
REST APIs for external integrations
Telegram configured and ready
How It Works
- 1
Click "Start Building" and connect your accounts
Runwork will guide you through connecting Telegram
- 2
Describe any customizations you need
The AI will adapt the recipe to your specific requirements
- 3
Preview, test, and deploy
Your app is ready to use in minutes, not weeks
Who Uses This
- Field agents can upload site reports or inspection photos via Telegram to automatically extract key findings and log them into a central database.
- Project managers can send PDF contracts or project briefs to the bot to receive instant bulleted summaries and action items while traveling between meetings.
- Operations teams can query the assistant for real-time environmental data and document history to coordinate logistics based on current weather conditions and historical records.
Frequently Asked Questions
What types of documents can this assistant process?
The system is designed to handle common business formats including PDFs, text files, and images, extracting the relevant text for analysis and storage.
Do I need to know how to code to use the Telegram interface?
No, the interface is a standard Telegram chat. You interact with it just like you would message a colleague, using natural language and standard file uploads.
How does the weather integration benefit my business?
The weather tool allows the assistant to provide context-aware responses, such as advising on outdoor project schedules or logging current conditions alongside document submissions.
Where is my data stored after it is processed?
All extracted information and chat interactions are securely routed to your connected database, ensuring you have a permanent, searchable record of all mobile communications.
Importing from n8n?
This recipe uses nodes like Langchain.lmChatGoogleGemini, OpenWeatherMapTool, Langchain.agent, TelegramTrigger and 15 more. With Runwork, you don't need to learn n8n's workflow syntax—just describe what you want in plain English.
Based on n8n community workflow. View original
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