# Chat bot sst tts with Gemini and Google Drive: n8n workflow > Started by an incoming Telegram message, and works across Google Drive, Postgres and Telegram. Source: https://millionrounds.com/workflow/chat-bot-sst-tts-with-gemini-and-google-drive (Millionrounds; every figure on the page links to its filing or article) [Automation library](https://millionrounds.com/workflows) · [Chat assistants](https://millionrounds.com/workflows?category=Chat+assistants#library) # Chat bot sst tts with Gemini and Google Drive Started by an incoming Telegram message, and works across Google Drive, Postgres and Telegram. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 25 steps, 5 branches: large, and worth reading before you trust it with anything live. Large Calls a model: Gemini Retrieval [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fchat-bot-sst-tts-with-gemini-and-google-drive) **25 steps** Large: read it before trusting it with anything live **5** Branches: places the flow splits **0** Loops or waits **3** Services it connects to ## The flow Starts it 1 Model 6 Logic 8 Service 10 The steps in the order they run, from what starts it. - 1 **Google Gemini Chat Model** Lm Chat Google Gemini *Model* - 2 **Postgres Chat Memory** Memory Postgres Chat *Model* - 3 **SerpAPI** Tool Serp Api *Model* - 4 **RAG MCP** Mcp Client Tool *Model* - 5 **Telegram Trigger** Telegram trigger *Starts it* - 6 **Boti Agent** Agent *Model* - 7 **If3** If *Logic* - 8 **Select rows from a table** Postgres *Service* - 9 **If5** If *Logic* - 10 **If** If *Logic* - 11 **If2** If *Logic* - 12 **Upload file** Google Drive *Service* - 13 **Send a text message2** Telegram *Service* - 14 **Get a file** Telegram *Service* - 15 **If1** If *Logic* - 16 **Clean Input1** Set *Logic* - 17 **Send a text message** Telegram *Service* - 18 **Send a text message5** Telegram *Service* - 19 **Transcribe a recording** Google Gemini *Model* - 20 **Insert or update rows in a table** Postgres *Service* - 21 **Clean Input2** Set *Logic* - 22 **HTTP Request1** Http Request *Service* - 23 **Clean Input** Set *Logic* - 24 **Send a text message1** Telegram *Service* - 25 **Send an audio file** Telegram *Service* ## How it's built - **Starts on:** An incoming Telegram message - **Steps:** 25, with 5 branches - **Size:** Large: read it before trusting it with anything live - **Connects to:** Google Drive, Postgres, Telegram - **Model:** Gemini - **Retrieval:** Answers are drawn from documents you supply, not from the model alone ## Questions What does it need to run? An n8n account, plus your own Google Drive, Postgres and Telegram accounts, and a key for Gemini. You connect your own accounts after importing it; none are included. What starts it? It starts on an incoming Telegram message. Does it use AI? Yes. It calls Gemini. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n. How long does it take to set up? Take your time. At 25 steps it is large: read it before trusting it with anything live. How do I import it? Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts. **Before you run it** Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 25 steps before you point it at anything that matters. ## Run it in n8n - **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n) - **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fchat-bot-sst-tts-with-gemini-and-google-drive) - **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts. Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind. ## Connects to Each opens the other workflows that use it. [Google Drive](https://millionrounds.com/workflows?service=Google+Drive#library)[Postgres](https://millionrounds.com/workflows?service=Postgres#library)[Telegram](https://millionrounds.com/workflows?service=Telegram#library) ## Workflows like it Also chat assistants, with the same services where possible, closest in size first. - [**AI email analyzer: Process PDFs, images & save** 25 steps · calls a model · Email, Google Drive](https://millionrounds.com/workflow/ai-email-analyzer-process-pdfs-images-and-save) - [**Design UI screens from chat with Google Stitch and Gemini** 25 steps · calls a model · Google Sheets, Telegram](https://millionrounds.com/workflow/design-ui-screens-from-chat-with-google-stitch-and-gemini) - [**AI-powered credit card recommendation system with OpenAI** 26 steps · calls a model · Google Sheets, Telegram](https://millionrounds.com/workflow/ai-powered-credit-card-recommendation-system-with-openai) - [**Agents with OpenRouter and Telegram** 24 steps · calls a model · Telegram](https://millionrounds.com/workflow/agents-with-openrouter-and-telegram) - [**Compare products and generate visual scorecards in Telegram** 24 steps · calls a model · Google Sheets, Telegram](https://millionrounds.com/workflow/compare-products-and-generate-visual-scorecards-in-telegram) - [**Create branded LinkedIn carousels with OpenAI** 24 steps · calls a model · Telegram](https://millionrounds.com/workflow/create-branded-linkedin-carousels-with-openai)