AI Workflows
Artificial Intelligence tools and workflows
Automate Audio Summarization and Upload for WordPress Articles
This workflow automates the conversion of WordPress articles into audio summaries or transcriptions using Eleven Labs API, enhancing content accessibility and engagement by uploading the resulting audio back to WordPress.
n8n$9.99Automate AI-Driven Data Extraction from PDFs with Dynamic Prompts and Baserow
Leverage dynamic prompts to automate data extraction from PDF files using Baserow and AI models. This workflow reduces maintenance and enhances flexibility by allowing prompt modifications without altering the workflow.
n8n$24.99Automate Data Extraction via Telegram with AI and Bright Data MCP
Leverage AI to automate data extraction tasks through a Telegram bot using Bright Data MCP tools. This workflow simplifies complex operations by allowing natural language commands.
n8n$14.99Build a Slack Bot with Google Dialogflow for AI-Powered Conversations
Create an interactive Slack bot using Google Dialogflow to process and respond to user queries with AI-driven insights.
n8n$9.99Extract and Validate Book Titles from Bookshelf Images Using GPT-4o and Google Books
Automatically extract and verify book titles and authors from bookshelf images using AI and Google Books API. This workflow processes images to identify book titles, validates them against Google Books, and returns a refined list to the frontend.
n8n$14.99Integrate Open-Source LLM with Hugging Face for Chat Automation
Automate chat responses using an open-source language model from Hugging Face, integrated with n8n's Basic LLM Chain. Customize the model and prompts to suit your needs.
n8n$4.99Interact with Event Schedules via Telegram Using Google Sheets
Enable seamless interaction with your event schedules stored in Google Sheets through a Telegram bot. This workflow allows users to query and receive information about past, present, and future events directly in Telegram.
n8n$14.99Automate Contact Data Conversion to JSON for System Integration
This n8n workflow automatically transforms unstructured contact information into structured JSON using AI, facilitating seamless integration with CRM or ERP systems.
n8n$9.99Integrate AI with API Calls for Dynamic Data Retrieval
Leverage n8n to connect AI with any API for real-time data retrieval and processing. This workflow uses AI to refine API requests based on user input, enhancing the interaction with dynamic data fetching.
n8n$14.99Automate LLM Testing with GPT-4 Judge & Google Sheets Tracking
## How it works - The workflow loads a list of test cases from a Google Sheet (previous results stored from an LLM). - For each test case, we execute a call to an LLM judge in parallel (using HTTP Request + Webhook nodes). - The judge uses the Input, Output, and Reference Answer fields from the spreadsheet to mark each LLM response as Pass/Fail. - The results are logged into a separate sheet in the same Sheets file. ## Set up steps: - Add your credentials for Google Sheets and OpenAI (or replace the OpenAI node with your favorite chat model). - Make a copy of the example Sheet to populate it with your own test data. - Run the workflow with the Execute Workflow button next to the Manual Trigger node.
n8n$14.99Integrate OpenAI Chatbot with Business Data Using Peliqan for RAG and SQL Queries
This workflow demonstrates how to integrate an OpenAI chatbot with business data from multiple sources using Peliqan for RAG and SQL queries. It enables efficient data retrieval and analysis by leveraging Peliqan's data warehouse capabilities.
n8n$14.99Automate Web Accessibility Audits with AI-Generated Alt Texts
Enhance your website's accessibility by automatically generating descriptive alt texts for images using AI and storing results in Google Sheets.
n8n$9.99Arxiv Paper Summarization with ChatGPT
# Webhook | Paper Summarization ## Who is this for? This workflow is designed for researchers, students, and professionals who frequently read academic papers and need concise summaries. It is useful for anyone who wants to quickly extract key information from research papers hosted on arXiv. ## What problem is this workflow solving? Academic papers are often lengthy and complex, making it time-consuming to extract essential insights. This workflow automates the process of retrieving, processing, and summarizing research papers, allowing users to focus on key findings without manually reading the entire paper. ## What this workflow does This workflow extracts the content of an arXiv research paper, processes its abstract and main sections, and generates a structured summary. It provides a well-organized output containing the **Abstract Overview, Introduction, Results, and Conclusion**, ensuring that users receive critical information in a concise format. ## Setup 1. Ensure you have **n8n** installed and configured. 2. Import this workflow into your n8n instance. 3. Configure an external trigger using the **Webhook** node to accept paper IDs. 4. Test the workflow by providing an arXiv paper ID. 5. (Optional) Modify the summarization model or output format according to your preferences. ## How to customize this workflow to your needs - Adjust the **HTTPRequest** node to fetch papers from other sources beyond arXiv. - Modify the **Summarization Chain** node to refine the summary output. - Enhance the **Reorganize Paper Summary** step by integrating additional language models. - Add an **email or Slack notification** step to receive summaries directly. ## Workflow Steps 1. **Webhook** receives a request with an arXiv paper ID. 2. **Send an HTTP request** using **Request to Paper Page** to fetch the HTML content of the paper. 3. **Extract the abstract and sections** using **Extract Contents**. 4. **Split out all sections** using **Split out All Sections** to process individual paragraphs. 5. **Clean up text** using **Remove useless links** to remove unnecessary elements. 6. **Summarize extracted content** using **Summarization Chain**. 7. **Aggregate summarized content** using **Aggregate summarized content**. 8. **Reorganize the paper summary** into structured sections using **Reorganize Paper Summary**. 9. **Extract key information** using **Content Extractor** to classify data into **Abstract Overview, Introduction, Results, and Conclusion**. 10. **Respond to the webhook** with the structured summary. --- **Note:** This workflow is designed for use with **arXiv** research papers but can be adapted to process papers from other sources.
n8n$9.99Automate GLPI Knowledge Base RAG Pipeline with Google Gemini and PostgreSQL
This workflow automates the creation of a Retrieval-Augmented Generation (RAG) pipeline using GLPI Knowledge Base content. It streamlines data retrieval, transformation, and vector storage, enhancing the efficiency of building AI-powered support agents.
n8n$9.99Create a Telegram Mental Health Support Bot with GPT-4o
This workflow sets up a Telegram bot to provide real-time, empathetic mental health support using AI. Messages tagged with #vent, #insight, or #cope are processed by GPT-4o to deliver personalized responses.
n8n$9.99Automate Research with Perplexity Sonar API
This workflow automates research tasks by leveraging the Perplexity Sonar API. It dynamically sends user queries to retrieve and format search results for further processing.
n8n$4.99Automate LinkedIn Post Creation from RSS Feeds Using OpenAI GPT-3
Effortlessly generate LinkedIn posts from new articles by leveraging RSS feeds and OpenAI GPT-3, enhancing your social media strategy with timely and engaging content.
Make$3.99Enhance WordPress User Experience with AI Chatbot Using Supabase and OpenAI
This workflow integrates WordPress content with Supabase and OpenAI to create an AI chatbot that enhances user experience through Retrieval-Augmented Generation (RAG).
n8n$19.99Automate LinkedIn AI News Posts with NewsAPI and OpenAI
This workflow automates the creation and publication of LinkedIn posts about trending AI news. It fetches news articles using NewsAPI, enhances content with Qdrant, and generates professional posts using OpenAI's GPT-4o-mini model.
n8n$14.99Automate AI-Powered Document Retrieval with Paul Essays, Milvus, and OpenAI
This workflow automates the creation of a document-based AI retrieval system using Milvus and OpenAI. It processes Paul Graham essays, stores them in a Milvus vector database, and generates cited responses to user queries.
n8n$14.99Calculate AI Model Carbon Footprint Using Ecologits.ai
This workflow estimates the carbon footprint of AI model outputs by calculating the grams of CO₂ equivalent per token, using the Ecologits.ai methodology. It helps developers and organizations track and reduce the environmental impact of their AI applications.
n8n$4.99Automate Faceless YouTube Video Creation with AI
This workflow automates the creation of YouTube videos without requiring on-camera presence by generating audio narration, creating stock imagery, and syncing these elements into a cohesive video.
n8n$19.99Automate AI-Driven News Commentary for LinkedIn Using Dumpling AI and GPT-4o
This workflow automates the creation of personalized news commentary for LinkedIn by leveraging Dumpling AI's news search and scraping capabilities, combined with GPT-4o for generating insightful content. The final output is stored in Google Sheets for easy review and posting.
n8n$9.99Generate YouTube Video Summaries with SearchAPI Transcripts and LLM
## Summarize YouTube Videos using SearchApi & LLM ### Who is this for? This workflow is ideal for **content creators**, **students**, **digital marketers**, **educators**, and **researchers** who want to quickly summarize YouTube videos. ### What problem does this workflow solve? Manually extracting important information from lengthy YouTube videos can be tedious and prone to errors. This workflow streamlines the process by automatically fetching video transcripts using [SearchApi.io](https://www.searchapi.io/) and producing concise, informative summaries through a summarization chain powered by any LLM provider. This allows users to quickly access crucial information without the need for manual transcription or detailed viewing. ### What this workflow does - Fetches the complete transcript of a YouTube video using SearchApi. - Combines the retrieved transcript into a single, continuous text. - Utilizes a **Summarization Chain** with an LLM (e.g., OpenAI models) to create a concise summary of the video content. ### Setup 1. **Install the [SearchApi community node](https://www.npmjs.com/package/@searchapi/n8n-nodes-searchapi)**: - Open **Settings > Community Nodes** inside your self-hosted n8n instance. - Fill **npm Package Name** with `@searchapi/n8n-nodes-searchapi`. - Accept the risk prompt, and hit **Install**. - It should now appear as a node when you search for it. 2. **API Configuration**: - Set up your [SearchApi.io](https://www.searchapi.io/) credentials in n8n. - Add your preferred LLM provider credentials (e.g., OpenAI API). 3. **Input Requirements**: - Provide the YouTube video ID (e.g., `wBuULAoJxok`). 4. **Connect LLM Integration**: - Configure the summarization chain with your chosen model and parameters for text splitting. ### How to customize this workflow to meet your needs - Adjust the summarization model or modify text-splitter parameters to accommodate different lengths and complexities of video transcripts. - Integrate additional nodes to export summaries directly into your preferred tools, such as Google Drive, Slack, or email. - Customize prompt templates in the summarization chain to obtain various summary styles (bullet points, paragraphs, etc.). - Modify the trigger to suit your workflow. ### Example Usage 1. **Input**: YouTube video ID (`wBuULAoJxok`). 2. **Output**: A concise, actionable summary that highlights key ideas, recommendations, and insights from the video.
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