+14
Enrich FAQ sections on your website pages at scale with AI
Published 1 month ago
Created by
Polina Medvedieva
Template description
This n8n workflow template lets you easily generate comprehensive FAQ (Frequently Asked Questions) content for multiple services (or any items or pages you need to add the FAQs to). Simply provide the Google Sheets document containing the items to scrape, and the workflow automatically creates detailed, AI-enhanced FAQ documents.
How it works
- The workflow reads data from a Google Sheets document containing information about different services and categories (again, in your case - whatever objects you need).
- For each service and category, it generates a set of standard questions and answers covering setup, permissions, integrations, use cases, and pricing benefits.
- An AI model (OpenAI's GPT) is used to enhance or complete some of the answers, making the content more comprehensive and natural-sounding.
- The workflow formats the Q&A pairs, combining AI-generated content with predefined answers where applicable.
- It creates a text file (JSON) for each service or category, containing the formatted Q&A pairs.
- The generated files are saved to specific folders in Google Drive, organized by the type of integration (native, credential-only, non-native) or category.
- After processing each service or category, it updates the status in the original Google Sheets document to mark it as completed.
Ideal for:
- Marketing teams: Rapidly create comprehensive FAQ documents for multiple products or services.
- Customer support: Generate consistent and detailed answers for common customer queries.
- Product managers: Easily maintain up-to-date documentation as products evolve.
- Content creators: Streamline the process of creating informative content about various offerings.
Accounts required
- Google account (for Google Sheets and Google Drive)
- OpenAI API account (for AI-enhanced content generation)
- n8n.io account (for workflow execution)
Set up instructions
- Set up the required credentials for Google Sheets, Google Drive, and OpenAI when you first open the workflow.
- Prepare your Google Sheets document with the service/category information. Here's an example of Google Sheet.
- Fill the "Define Sheets" node with your sheets
- Adjust the folder IDs in the "Prepare Job" node to match your Google Drive structure.
- Configure the OpenAI model settings in the "OpenAI Chat Model" node if needed.
- Test the workflow with a small subset of data before running it on your entire dataset.
- Adjust the questions asked in the "Create your Q&A templates" section
- After testing, activate your workflow for automated FAQ generation.
🙏 Big, big kudos to Jim Le for his ideas, input and support when building this workflow. Your approach to AI workflows is always super helpful!
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+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
+8
Advanced Telegram Bot, Ticketing System, LiveChat, User Management, Broadcasting
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
Nskha
+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
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+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
+9
Actioning Your Meeting Next Steps using Transcripts and AI
This n8n workflow demonstrates how you can summarise and automate post-meeting actions from video transcripts fed into an AI Agent.
Save time between meetings by allowing AI handle the chores of organising follow-up meetings and invites.
How it works
This workflow scans for the calendar for client or team meetings which were held online. * Attempts will be made to fetch any recorded transcripts which are then sent to the AI agent.
The AI agent summarises and identifies if any follow-on meetings are required.
If found, the Agent will use its Calendar Tool to to create the event for the time, date and place for the next meeting as well as add known attendees.
Requirements
Google Calendar and the ability to fetch Meeting Transcripts (There is a special OAuth permission for this action!)
OpenAI account for access to the LLM.
Customising the workflow
This example only books follow-on meetings but could be extended to generate reports or send emails.
Jimleuk
+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
More AI workflow templates
AI agent chat
This workflow employs OpenAI's language models and SerpAPI to create a responsive, intelligent conversational agent. It comes equipped with manual chat triggers and memory buffer capabilities to ensure seamless interactions.
To use this template, you need to be on n8n version 1.50.0 or later.
n8n Team
+7
Scrape and summarize webpages with AI
This workflow integrates both web scraping and NLP functionalities. It uses HTML parsing to extract links, HTTP requests to fetch essay content, and AI-based summarization using GPT-4o. It's an excellent example of an end-to-end automated task that is not only efficient but also provides real value by summarizing valuable content.
Note that to use this template, you need to be on n8n version 1.50.0 or later.
n8n Team
+5
AI agent that can scrape webpages
⚙️🛠️🚀🤖🦾
This template is a PoC of a ReAct AI Agent capable of fetching random pages (not only Wikipedia or Google search results).
On the top part there's a manual chat node connected to a LangChain ReAct Agent. The agent has access to a workflow tool for getting page content.
The page content extraction starts with converting query parameters into a JSON object. There are 3 pre-defined parameters:
url** – an address of the page to fetch
method** = full / simplified
maxlimit** - maximum length for the final page. For longer pages an error message is returned back to the agent
Page content fetching is a multistep process:
An HTTP Request mode tries to get the page content.
If the page content was successfuly retrieved, a series of post-processing begin:
Extract HTML BODY; content
Remove all unnecessary tags to recude the page size
Further eliminate external URLs and IMG scr values (based on the method query parameter)
Remaining HTML is converted to Markdown, thus recuding the page lengh even more while preserving the basic page structure
The remaining content is sent back to an Agent if it's not too long (maxlimit = 70000 by default, see CONFIG node).
NB:
You can isolate the HTTP Request part into a separate workflow.
Check the Workflow Tool description, it guides the agent to provide a query string with several parameters instead of a JSON object.
Please reach out to Eduard is you need further assistance with you n8n workflows and automations!
Note that to use this template, you need to be on n8n version 1.19.4 or later.
Eduard
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+4
OpenAI GPT-3: Company Enrichment from website content
Enrich your company lists with OpenAI GPT-3 ↓
You’ll get valuable information such as:
Market (B2B or B2C)
Industry
Target Audience
Value Proposition
This will help you to:
add more personalization to your outreach
make informed decisions about which accounts to target
I've made the process easy with an n8n workflow.
Here is what it does:
Retrieve website URLs from Google Sheets
Extract the content for each website
Analyze it with GPT-3
Update Google Sheets with GPT-3 data
Lucas Perret
+5
Automated Web Scraping: email a CSV, save to Google Sheets & Microsoft Excel
How it works:
The workflow starts by sending a request to a website to retrieve its HTML content.
It then parses the HTML extracting the relevant information
The extracted data is storted and converted into a CSV file.
The CSV file is attached to an email and sent to your specified address.
The data is simultaneously saved to both Google Sheets and Microsoft Excel for further analysis or use.
Set-up steps:
Change the website to scrape in the "Fetch website content" node
Configure Microsoft Azure credentials with Microsoft Graph permissions (required for the Save to Microsoft Excel 365 node)
Configure Google Cloud credentials with access to Google Drive, Google Sheets and Gmail APIs (the latter is required for the Send CSV via e-mail node).
Mihai Farcas
+5
Personalize marketing emails using customer data and AI
This workflow uses AI to analyze customer sentiment from product feedback. If the sentiment is negative, AI will determine whether offering a coupon could improve the customer experience.
Upon completing the sentiment analysis, the workflow creates a personalized email templates. This solution streamlines the process of engaging with customers post-purchase, particularly when addressing dissatisfaction, and ensures that outreach is both personalized and automated.
This workflow won the 1st place in our last AI contest.
Note that to use this template, you need to be on n8n version 1.19.4 or later.
n8n Team
