Langchain.lmChatOpenAi Langchain.memoryBufferWindow GoogleDocsTool TelegramTrigger Telegram StickyNote +1 more

Create a Telegram customer support bot with GPT4-mini and Google Docs knowledge

Transform your Telegram bot into a sophisticated support agent that leverages Google Docs as a live knowledge base. By integrating GPT-4 mini and RAG technology, this workflow delivers accurate, context-driven answers to customer queries without any manual intervention. It's an ideal way to provide instant, 24/7 assistance while keeping your documentation easily accessible.

Run this with your team's AI

What This Recipe Does

This automation bridge the gap between instant messaging and formal documentation by transforming Telegram conversations into structured Google Docs records. Instead of manually copying and pasting ideas, meeting notes, or project updates from a chat thread, this workflow captures incoming messages and organizes them directly into your document management system. By automating the transition from a casual chat interface to a professional document format, your team can ensure that critical information is never lost in a busy message history. This tool is particularly valuable for capturing spontaneous brainstorms, field reports, or client requirements in real-time. It streamlines the content creation process, allowing users to focus on communication while the AI handles the administrative task of cataloging and formatting information for future use.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

Langchain.lmChatOpenAi, Langchain.memoryBufferWindow, GoogleDocsTool, TelegramTrigger, Telegram connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect Langchain.lmChatOpenAi and Langchain.memoryBufferWindow once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

Do I need to manually format the text in Google Docs?

No, the automation handles the transfer of data from Telegram to your document, ensuring that your messages are captured and appended correctly without manual intervention.

Can I choose which Google Doc the messages are sent to?

Yes, you can configure the workflow to target specific documents or folders based on your organizational needs or project structure.

Is it possible to capture images or files sent through Telegram?

This specific workflow is optimized for text-based documentation, ensuring your written records are clear and searchable within Google Workspace.

Does this require any coding knowledge to maintain?

Not at all. The Runwork interface allows you to manage and monitor this automation through a user-friendly application dashboard designed for business users.

Coming from n8n?

This recipe uses nodes like Langchain.lmChatOpenAi, Langchain.memoryBufferWindow, GoogleDocsTool, TelegramTrigger and 3 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

Langchain.lmChatOpenAi Langchain.memoryBufferWindow GoogleDocsTool TelegramTrigger Telegram StickyNote Langchain.agent

Based on n8n community workflow. View original

Related Recipes

StickyNote ExecuteWorkflowTrigger Set GoogleSheets +2

Telegram user registration workflow

This automation streamlines the bridge between AI-driven communication and structured data management. By connecting Telegram interactions with Google Sheets, it transforms unstructured chat messages into organized, actionable records. The workflow acts as an intelligent intermediary that receives data via specialized triggers, processes the information through conditional logic, and ensures every interaction is documented accurately. For businesses, this means eliminating the manual task of copying data from chat apps into spreadsheets. It provides a reliable way to capture leads, log support requests, or collect field data in real-time. By utilizing Runwork to turn this workflow into a dedicated application, your team can manage these data flows through a professional interface without ever touching a line of code or a complex backend. The result is a more responsive operation where information moves instantly from a conversation into your core business systems, improving data integrity and response times.

See the recipe
Langchain.lmChatOpenAi StickyNote Slack Langchain.agent +2

Create a Slack chatbot with AI for automated responses

This AI-powered automation bridges the gap between conversational intelligence and team collaboration by transforming a standard chat interface into a powerful information distribution hub. By integrating advanced language processing with Slack, this workflow allows your team to interact with an AI assistant that doesn't just answer questions, but actively documents insights and communicates findings across your organization. Instead of losing valuable information in isolated chat windows, this automation ensures that every AI-generated insight is captured as a digital note and shared instantly with the relevant stakeholders. This streamlines internal knowledge sharing, reduces the need for manual status updates, and ensures that critical data derived from AI interactions is immediately actionable. For businesses looking to scale their operations, this tool eliminates the manual overhead of copying and pasting information between platforms, allowing your team to focus on high-level strategy while the automation handles the documentation and notification logistics.

See the recipe
Google Drive Supabase

Build a product catalog chatbot with Mistral AI, Google Drive & Supabase RAG

Managing vast amounts of information across Google Drive can lead to significant bottlenecks when teams need quick answers. This automation streamlines the process of transforming static documents into an interactive AI knowledge base. By automatically extracting text from files stored in Google Drive and processing them in manageable batches, the system prepares your proprietary data for use in custom AI chatbots. This eliminates the need for manual data entry or tedious copy-pasting from PDFs and documents. Business leaders can now ensure their AI tools are powered by the most current internal documentation, leading to higher accuracy in automated responses. The workflow handles the heavy lifting of data preparation, allowing your team to focus on high-value analysis rather than document administration. By implementing this solution, you create a scalable bridge between your unstructured files and actionable business intelligence, significantly reducing the time spent on internal information retrieval.

See the recipe
Google Drive

AI-powered company documents Q&A assistant with Google Drive

Transform your static Google Drive folders into a dynamic, interactive knowledge base with this AI-powered automation. Instead of manually searching through endless documents, spreadsheets, and PDFs, this solution bridges the gap between your stored data and your team’s questions. By monitoring your Google Drive in real-time, the automation ensures that your AI chatbot is always equipped with the most current information. Whenever a file is added or updated, the system instantly processes the content, making it searchable and conversational. This eliminates the lag time between information creation and information accessibility, ensuring that your staff or customers receive accurate answers based on your latest internal documentation. The integration uses secure webhooks to deliver responses, providing a seamless interface for users to interact with your company’s collective intelligence. By automating the ingestion of data from Google Drive, you reduce administrative overhead, minimize human error in information retrieval, and empower your team to make faster, data-driven decisions without leaving their primary communication tools.

See the recipe

Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

Open this recipe in Runwork