Document processing and AI interaction via Telegram

• Engage users with a chatbot that answers questions based on uploaded documents.
• Automatically extract and process text from PDF files sent via Telegram.
• Store and retrieve document embeddings for efficient information access.
• Provide real-time data, such as weather updates, alongside document queries.

Users upload PDF documents to the Telegram bot. The bot extracts text and generates embeddings for the document content. Users can ask questions related to the uploaded documents. The bot retrieves relevant information and responds using Google Gemini's language model.

1. 1
   Import the workflow into your n8n instance.
2. 2
   Configure the necessary credentials for Telegram, Google Gemini, and Supabase.
3. 3
   Set up a vector-enabled table in Supabase for storing document embeddings.
4. 4
   Test the workflow by uploading a PDF document and interacting with the bot.