This workflow creates an intelligent AI assistant integrated with Telegram, capable of processing, storing, and querying documents using advanced language models and vector search. Users can upload PDFs to the Telegram bot, which extracts text, generates embeddings using Google Gemini, and stores them in a Supabase vector database for quick retrieval. The bot can answer questions about uploaded documents, provide real-time weather updates, and handle user commands seamlessly. Ideal for building a personal document knowledge base or a smart document chatbot, this no-code workflow leverages n8n’s automation platform, Google Gemini, Supabase, and Telegram APIs to deliver a powerful, easy-to-deploy assistant.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsGoogleGemini, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolThink, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, aggregate, code, extractFromFile, openWeatherMapTool, set, splitOut, stickyNote, switch, telegram, telegramTrigger