Send automated emails and add rows in Google Sheets using ChatGPT completions

Build a RAG system with automatic citations using Qdrant, Gemini & OpenAI

This workflow implements a Retrieval-Augmented Generation (RAG) system that: Stores vectorized documents in Qdrant, Retrieves relevant content based on user input, Generates AI answers using Google Gemini, Automatically cites the document sources (from Google Drive). --- Workflow Steps 1. Create Qdrant Collection A REST API node creates a new collection in Qdrant with specified vector size (1536) and cosine similarity. 2. Load Files from Google Drive The workflow lists all files in a Googl

Automate web research & analysis with Oxylabs & GPT for comprehensive reports

Fully automate deep research from start to finish: scrape Google Search results, select relevant sources, scrape & analyze each source in parallel, and generate a comprehensive research report. Who is this for? This workflow is for anyone who needs to research topics quickly and thoroughly: content creators, marketers, product managers, researchers, journalists, students, or anyone seeking deep insights without spending hours browsing websites. If you find yourself opening dozens of b

Stock market daily digest with Bright Data scraping & Gemini AI email reports

This workflow makes it easier to keep track of the stocks and get an email with a summary of the daily highlights on what happened, key insights and trends

Sort Gmail emails with GPT-4o into action required and no action labels

Description: This automation uses GPT-4o to scan unread Gmail emails and intelligently classify them as: Action → Requires your attention (reply, review, schedule, or respond) No Action → Informational or promotional; no action needed The result? You eliminate inbox noise and gain a clear daily routine: only check what's in Action Required. ⚙️ How It Works: Trigger: Runs on a customizable schedule Fetch Emails: Pulls unread messages from Gmail Classify via GPT-4o: Determines if each email n

Personalise outreach emails using customer data and AI

This n8n template uses existing emails from customers as context to customise and "finetune" outreach emails to them using AI. By now, it should be common knowledge that we can leverage AI to generate unique emails but in a way, they can remain generic as the AI lacks the customer context to be truly personalised. One way to solve this is by pulling in a source of customer data - and what better way then by using existing email correspondence. How it works Customers to target are pulled from Hu

Convert a File in CloudConvert using method import from URL and upload the files to Nextcloud

Download files from URLs stored in Google Sheets and convert the files to a specified format. After the conversion, upload the files to Nextcloud.

Create Zoom meetings from new rows on a Google Sheet

Use this automation to watch for new rows of data on a Google Sheet and create Zoom meetings with the data. The scenario then updates the sheet with the Join and Share URLs. This automation uses this [Google Sheet example.](https://docs.google.com/spreadsheets/d/1FipHbhc8KWkjcIHEhNqk3pbdHjNxjoR5bX9do7vM5TQ/edit?usp=sharing)

Save new Evernote notes to linkish.io

Every time there is a new note added to Evernote, Make will automatically save a link to this note to linkish.io.