Document Q&A Chatbot with Gemini AI and Supabase Vector Search for Telegram

This template creates a Telegram AI Assistant that answers questions based on your documents, powered by Google Gemini and Supabase. Key features include Intelligent HTML Post-processing for rich formatting in Telegram and Adaptive Message Chunking to handle long text responses. 📹 Watch the Bot in Action ▶️ Click the image above to watch a live demo on YouTube. This video provides a live demonstration of the bot's core features and how it interacts. See a quick walkthrough of its capabilities and user flow. How it works: User uploads a PDF document to a Telegram bot. The workflow processes the PDF, creates embeddings using Google Gemini, and stores these embeddings in a Supabase vector tabl

Help me set up the n8n workflow "Document Q&A Chatbot with Gemini AI and Supabase Vector Search for Telegram" (https://n8n.io/workflows/3940). It uses: Telegram, Code, AI Agent, Simple Memory, Recursive Character Text Splitter, Supabase Vector Store, Default Data Loader, Embeddings Google Gemini, Google Gemini Chat Model, Vector Store Question Answer Tool, Think Tool. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.