Telegram RAG Chatbot with OpenAI Embeddings & Google Drive Backup

This n8n workflow creates an advanced Retrieval-Augmented Generation (RAG) chatbot integrated with Telegram, allowing users to ask questions and receive accurate, context-aware answers from uploaded PDF documents. Powered by OpenAI for semantic embeddings and intelligent querying, it handles text messages via a Telegram trigger, retrieves relevant document chunks from a vector store, and generates responses using a GPT agent. Non-text inputs receive a fallback reply, ensuring smooth user experience.

The workflow also includes a manual trigger for PDF processing: it loads and chunks PDFs, embeds text segments with OpenAI, stores them in a vector database for fast retrieval, and uploads originals to Google Drive for secure backup. This dual functionality streamlines document management and Q&A automation.

Ideal for knowledge workers, support teams, educators, and individuals needing instant access to private docs, SOPs, or course materials. Benefits include time savings on manual searches, enhanced accuracy over generic LLMs, cloud redundancy, and scalability for growing document libraries. Perfect for Health & Fitness pros managing guides, protocols, or client resources via chat.