Template description
A robust n8n workflow designed to enhance Telegram bot functionality for user management and broadcasting. It facilitates automatic support ticket creation, efficient user data storage in Redis, and a sophisticated system for message forwarding and broadcasting.
How It Works
- Telegram Bot Setup: Initiate the workflow with a Telegram bot configured for handling different chat types (private, supergroup, channel).
- User Data Management: Formats and updates user data, storing it in a Redis database for efficient retrieval and management.
- Support Ticket Creation: Automatically generates chat tickets for user messages and saves the corresponding topic IDs in Redis.
- Message Forwarding: Forwards new messages to the appropriate chat thread, or creates a new thread if none exists.
- Support Forum Management: Handles messages within a support forum, differentiating between various chat types and user statuses.
- Broadcasting System: Implements a broadcasting mechanism that sends channel posts to all previous bot users, with a system to filter out blocked users.
- Blocked User Management: Identifies and manages blocked users, preventing them from receiving broadcasted messages.
- Versatile Channel Handling: Ensures that messages from verified channels are properly managed and broadcasted to relevant users.
Set Up Steps
- Estimated Time: Around 30 minutes.
- Requirements: A Telegram bot, a Redis database, and Telegram group/channel IDs are necessary.
- Configuration: Input the Telegram bot token and relevant group/channel IDs. Configure message handling and user data processing according to your needs.
- Detailed Instructions: Sticky notes within the workflow provide extensive setup information and guidance.
Live Demo Workflow
Bot: Telegram Bot Link (Click here)
Support Group: Telegram Group Link (Click here)
Broadcasting Channel: Telegram Channel Link (Click here)
Keywords: n8n workflow, Telegram bot, chat ticket system, Redis database, message broadcasting, user data management, support forum automation
Share Template
More Support workflow templates
+3
Slack chatbot powered by AI
This workflow offers an effective way to handle a chatbot's functionality, making use of multiple tools for information retrieval, conversation context storage, and message sending. It's a setup tailored for a Slack environment, aiming to offer an interactive, AI-driven chatbot experience.
Note that to use this template, you need to be on n8n version 1.19.4 or later.
n8n Team
+5
🚀 Boost your customer service with this WhatsApp Business bot!
This n8n workflow demonstrates how to automate customer interactions and appointment management via WhatsApp Business bot.
After submitting a Google Form, the user receives a notification via WhatsApp. These notifications are sent via a template message.
In case user sends a message to the bot, the text and user data is stored in Google Sheets.
To reply back to the user, fill in the ReplyText column and change the Status to 'Ready'. In a few seconds n8n will fetch the unsent replies and deliver them one by one via WhatsApp Business node.
Customize this workflow to fit your specific needs, connect different online services and enhance your customer communication! 🎉
Setup Instructions
To get this workflow up and running, you'll need to:
👇 Create a WhatsApp template message on the Meta Business portal.
Obtain an Access Token and WhatsApp Business Account ID from the Meta Developers Portal. This is needed for the WhatsApp Business Node to send messages.
Set up a WhatsApp Trigger node with App ID and App Secret from the Meta Developers Portal.
Right after that copy the WhatsApp Trigger URL and add it as a Callback URL in the Meta Developers Portal. This trigger is needed to receive incoming messages and their status updates.
Connect your Google Sheets account for data storage and management. Check out the documentation page.
⚠️ Important Notes
WhatsApp allows automatic custom text messages only within 24 hours of the last user message. Outside with time frame only approved template messages can be sent.
The workflow uses a Google Sheet to manage form submissions, incoming messages and prepare responses. You can replace these nodes and connect the WhatsApp bot with other systems.
Eduard
+6
Notion AI Assistant Generator
This n8n workflow template lets teams easily generate a custom AI chat assistant based on the schema of any Notion database. Simply provide the Notion database URL, and the workflow downloads the schema and creates a tailored AI assistant designed to interact with that specific database structure.
Set Up
Watch this quick set up video 👇
Key Features
Instant Assistant Generation**: Enter a Notion database URL, and the workflow produces an AI assistant configured to the database schema.
Advanced Querying**: The assistant performs flexible queries, filtering records by multiple fields (e.g., tags, names). It can also search inside Notion pages to pull relevant content from specific blocks.
Schema Awareness**: Understands and interacts with various Notion column types like text, dates, and tags for accurate responses.
Reference Links**: Each query returns direct links to the exact Notion pages that inform the assistant’s response, promoting transparency and easy access.
Self-Validation**: The workflow has logic to check the generated assistant, and if any errors are detected, it reruns the agent to fix them.
Ideal for
Product Managers**: Easily access and query product data across Notion databases.
Support Teams**: Quickly search through knowledge bases for precise information to enhance support accuracy.
Operations Teams**: Streamline access to HR, finance, or logistics data for fast, efficient retrieval.
Data Teams**: Automate large dataset queries across multiple properties and records.
How It Works
This AI assistant leverages two HTTP request tools—one for querying the Notion database and another for retrieving data within individual pages. It’s powered by the Anthropic LLM (or can be swapped for GPT-4) and always provides reference links for added transparency.
Max Tkacz
+13
AI-powered WooCommerce Support-Agent
With this workflow you get a fully automated AI powered Support-Agent for your WooCommerce webshop. It allows customers to request information about things like:
the status of their order
the ordered products
shipping and billing address
current DHL shipping status
How it works
The workflow receives chat messages from an in a website integrated chat. For security and data-privacy reasons, does the website transmit the email address of the user encrypted with the requests. That ensures that user can just request the information about their own orders.
An AI agent with a custom tool supplies the needed information. The tool calls a sub-workflow (in this case, in the same workflow for convenience) to retrieve the required information. This includes the full information of past orders plus the shipping information from DHL.
If otherr shipping providers are used it should be simple to adjust the workflow to query information from other APIs like UPS, Fedex or others.
Jan Oberhauser
+5
Ask a human for help when the AI doesn't know the answer
This is a workflow that tries to answer user queries using the standard GPT-4 model. If it can't answer, it sends a message to Slack to ask for human help. It prompts the user to supply an email address.
This workflow is used in Advanced AI examples | Ask a human in the documentation.
To use this workflow:
Load it into your n8n instance.
Add your credentials as prompted by the notes.
Configure the Slack node to use your Slack details, or swap out Slack for a different service.
Deborah
+10
Automate Customer Support Issue Resolution using AI Text Classifier
This n8n template is designed to assist and improve customer support team member capacity by automating the resolution of long-lived and forgotten JIRA issues.
How it works
Schedule Trigger runs daily to check for long-lived unresolved issues and imports them into the workflow.
Each Issue is handled as a separate subworkflow by using an execute workflow node. This allows parallel processing.
A report is generated from the issue using its comment history allowing the issue to be classified by AI - determining the state and progress of the issue.
If determined to be resolved, sentiment analysis is performed to track customer satisfaction. If negative, a slack message is sent to escalate, otherwise the issue is closed automatically.
If no response has been initiated, an AI agent will attempt to search and resolve the issue itself using similar resolved issues or from the notion database. If a solution is found, it is posted to the issue and closed.
If the issue is blocked and waiting for responses, then a reminder message is added.
How to use
This template searches for JIRA issues which are older than 7 days which are not in the "Done" status. Ensure there are some issues that meet this criteria otherwise adjust the search query to suit.
Works best if you frequently have long-lived issues that need resolving.
Ensure the notion tool is configured as to not read documents you didn't intend it to ie. private and/or internal documentation.
Requirements
JIRA for issues management
OpenAI for LLM
Slack for notifications
Customising this workflow
Why not try classifying issues as they are created? One use-case may be for quality control such as ensuring reporting criteria is adhered to, summarising and rephrasing issue for easier reading or adjusting priority.
Jimleuk
More IT Ops workflow templates
+3
Backup n8n workflows to Google Drive
Temporary solution using the undocumented REST API for backups using Google drive.
Please note that there are issues with this workflow. It does not support versioning, so please know that it will create multiple copies of the workflows so if you run this daily it will make the folder grow quickly. Once I figure out how to version in Gdrive I'll update it here.
Angel Menendez
+6
Notion AI Assistant Generator
This n8n workflow template lets teams easily generate a custom AI chat assistant based on the schema of any Notion database. Simply provide the Notion database URL, and the workflow downloads the schema and creates a tailored AI assistant designed to interact with that specific database structure.
Set Up
Watch this quick set up video 👇
Key Features
Instant Assistant Generation**: Enter a Notion database URL, and the workflow produces an AI assistant configured to the database schema.
Advanced Querying**: The assistant performs flexible queries, filtering records by multiple fields (e.g., tags, names). It can also search inside Notion pages to pull relevant content from specific blocks.
Schema Awareness**: Understands and interacts with various Notion column types like text, dates, and tags for accurate responses.
Reference Links**: Each query returns direct links to the exact Notion pages that inform the assistant’s response, promoting transparency and easy access.
Self-Validation**: The workflow has logic to check the generated assistant, and if any errors are detected, it reruns the agent to fix them.
Ideal for
Product Managers**: Easily access and query product data across Notion databases.
Support Teams**: Quickly search through knowledge bases for precise information to enhance support accuracy.
Operations Teams**: Streamline access to HR, finance, or logistics data for fast, efficient retrieval.
Data Teams**: Automate large dataset queries across multiple properties and records.
How It Works
This AI assistant leverages two HTTP request tools—one for querying the Notion database and another for retrieving data within individual pages. It’s powered by the Anthropic LLM (or can be swapped for GPT-4) and always provides reference links for added transparency.
Max Tkacz
+3
Notion knowledge base AI assistant
Who is this for
This workflow is perfect for teams and individuals who manage extensive data in Notion and need a quick, AI-powered way to interact with their databases. If you're looking to streamline your knowledge management, automate searches, and get faster insights from your Notion databases, this workflow is for you. It’s ideal for support teams, project managers, or anyone who needs to query specific data across multiple records or within individual pages of their Notion setup.
Check out the Notion template this Assistant is set up to use: https://www.notion.so/templates/knowledge-base-ai-assistant-with-n8n
How it works
The Notion Database Assistant uses an AI Agent built with Retrieval-Augmented Generation (RAG) to query this Knowledge Base style Notion database. The assistant can search across multiple properties like tags or question and retrieves content from inside individual Notion pages for additional context.
Key features include:
Querying the database with flexible filters.
Searching within individual Notion pages and extracting relevant blocks.
Providing a reference link to the exact Notion pages used to inform its responses, ensuring transparency and easy verification.
This assistant uses two HTTP request tools—one for querying the Notion database and another for pulling data from within specific pages. It streamlines knowledge retrieval, offering a conversational, AI-driven way to interact with large datasets.
Set up
Find basic set up instructions inside the workflow itself or watch a quickstart video 👇
Max Tkacz
Backup workflows to GitHub
Note: This workflow uses the internal API which is not official. This workflow might break in the future.
The workflow executes every night at 23:59. You can configure a different time bin the Cron node.
Configure the GitHub nodes with your username, repo name, and the file path.
In the HTTP Request nodes (making a request to localhost:5678), create Basic Auth credentials with your n8n instance username and password.
ghagrawal17
Dynamically generate a webpage from user request using OpenAI Structured Output
This workflow is a experiment to build HTML pages from a user input using the new Structured Output from OpenAI.
How it works:
Users add what they want to build as a query parameter
The OpenAI node generate an interface following a structured output defined in the body
The JSON output is then converted to HTML along with a title
The HTML is encapsulated in an HTML node (where the Tailwind css script is added)
The HTML is rendered to the user via the Webhook response.
Set up steps
Create an OpenAI API Key
Create the OpenAI credentials
Use the credentials for both nodes HTTP Request (as Predefined Credential type) and OpenAI
Activate your workflow
Once active, go to the production URL and add what you'd like to build as the parameter "query"
Example: https://production_url.com?query=a%20signup%20form
Example of generated page
Agent Studio
+4
Host your own Uptime Monitoring with Scheduled Triggers
This n8n workflow demonstrates how to build a simple uptime monitoring service using scheduled triggers.
Useful for webmasters with a handful of sites who want a cost-effective solution without the need for all the bells and whistles.
How it works
Scheduled trigger reads a list of website urls in a Google Sheet every 5 minutes
Each website url is checked using the HTTP node which determines if the website is either in the UP or DOWN state.
An email and Slack message are sent for websites which are in the DOWN state.
The Google Sheet is updated with the website's state and a log created.
Logs can be used to determine total % of UP and DOWN time over a period.
Requirements
Google Sheet for storing websites to monitor and their states
Gmail for email alerts
Slack for channel alerts
Customising the workflow
Don't use Google Sheets? This can easily be exchanged with Excel or Airtable.
Jimleuk
