Who is this workflow for? This workflow guides you through creating a Telegram bot that leverages Supabase for memory management and OpenAI for intelligent responses. By integrating these tools using n8n, you can develop a bot that maintains context and provides personalized interactions..

What does this workflow do?

  • Receive New Message: The Telegram bot listens for incoming messages from users.
  • Check User in Database: The workflow queries the Supabase database to determine if the user exists using their telegram_id.
  • Create New User (if necessary): If the user is not found, a new record is created in Supabase with a unique openai_thread_id.
  • Start or Continue Conversation with OpenAI: Depending on the user’s context, the bot either initiates a new thread or continues an existing one using the openai_thread_id.
  • Merge Data: User-specific data and conversation context are combined to maintain continuity.
  • Send and Receive Messages: The user’s message is sent to OpenAI, and the response is received and processed.
  • Reply to User: The bot sends OpenAI’s response back to the user on Telegram.

Setup Steps

  • Create a Telegram Bot:
  • Use the Botfather to create a new Telegram bot and obtain the bot token.
  • Set Up Supabase:

  • Create a new Supabase project to generate a SUPABASE_URL and SUPABASE_KEY.

  • Create a telegram_users table with the following SQL:

     CREATE TABLE public.telegram_users ( id UUID NOT NULL DEFAULT gen_random_uuid(), date_created TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT (now() AT TIME ZONE 'utc'), telegram_id BIGINT, openai_thread_id TEXT, CONSTRAINT telegram_users_pkey PRIMARY KEY (id) ) TABLESPACE pg_default;
  • OpenAI Setup:
  • Create an OpenAI assistant and obtain the OPENAI_API_KEY.
  • Customize the assistant’s personality or use cases as needed.
  • Configure Environment in n8n:
  • Set up Telegram, Supabase, and OpenAI nodes with the respective credentials.
  • Configure triggers for receiving messages and managing conversation flow.
  • Specify the OpenAI assistant ID in the “Run Assistant” node.

🤖 Why Use This Automation Workflow?

  • Enhanced User Experience: Maintain conversation context for more meaningful interactions.
  • Scalable Data Management: Use Supabase to efficiently store and retrieve user data.
  • Intelligent Responses: Harness OpenAI’s capabilities to provide accurate and relevant answers.
  • Customizable Integration: Easily adapt the workflow to fit specific business or personal needs.
  • Automated Processes: Streamline bot operations with automated triggers and actions in n8n.

👨‍💻 Who is This Workflow For?

This workflow is ideal for:

  • Developers looking to build sophisticated chatbots.
  • Chatbot Enthusiasts aiming to enhance their bot’s capabilities.
  • Businesses seeking to implement customer support or virtual assistants with personalized interactions.

🎯 Use Cases

  1. Customer Support: Provide consistent and informed responses to customer inquiries.
  2. Virtual Assistants: Create a personal assistant that remembers user preferences and past interactions.
  3. Interactive Marketing: Engage users with personalized conversations to enhance marketing efforts.

TL;DR

This workflow enables you to build a Telegram bot that offers intelligent, context-aware interactions by integrating Supabase for memory management and OpenAI for dynamic responses. Ideal for developers and businesses, this template facilitates the creation of personalized and engaging user experiences.

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