Recent Workflows
Discover the latest N8N automation workflows added to our community library. Fresh templates and innovative solutions updated daily.
RAG on living data
For the RAG on living data workflow, automate the integration of real-time data from Notion into a dynamic knowledge base. This workflow utilizes advanced AI capabilities to process and embed content, enabling efficient retrieval and interaction through a chat interface. By running every minute, it ensures that your knowledge base is always up-to-date, enhancing accessibility and responsiveness for users seeking information.
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TopSourcer - Finds LinkedIn Profiles using natural language
TopSourcer automates the process of finding LinkedIn profiles using natural language queries. By generating tailored Boolean search strings, it efficiently retrieves relevant candidate profiles from Google, appending the results to a Google Sheet for easy tracking. This streamlined approach saves time and enhances recruitment efforts by providing direct access to potential candidates.
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Todoist Automate
For Todoist, automate task prioritization based on user-defined projects, enhancing organization and efficiency. This workflow runs on a schedule, retrieves inbox tasks, categorizes them using AI, and updates their priority accordingly, ensuring important tasks are always prioritized.
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get_a_web_page
Get a web page using a simple manual workflow that triggers a site crawl and retrieves content in markdown format. Effortlessly send a URL to be crawled, and receive the formatted response for easy integration with AI agents and workspaces.
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Automate Etsy Data Mining with Bright Data Scrape & Google Gemini
Automate Etsy data mining with Bright Data Scrape and Google Gemini to efficiently extract product information and manage paginated results. This workflow simplifies the process of gathering and organizing data, enabling users to quickly access valuable insights and save scraped content directly to disk. Perfect for enhancing market research and competitive analysis.
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Basic PDF Digital Sign Service
用于Basic PDF Digital Sign Service,自动化生成和签署PDF文档,确保文档安全性和完整性。通过集成密钥生成和文件处理,简化数字签名流程,快速响应用户请求,提升工作效率。
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AI Social Media Caption Creator
AI Social Media Caption Creator automates the generation of engaging Instagram captions based on user briefings. By integrating with Airtable and leveraging background audience insights, it crafts tailored captions that enhance social media engagement. This workflow saves time and ensures high-quality, audience-focused content, streamlining your social media strategy.
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Todoist Weekly Review Template
For Todoist, this automated workflow sends a weekly review email every Friday afternoon, summarizing completed tasks from the past week. It filters out specific projects if desired, ensuring you receive a concise overview of your accomplishments, enhancing productivity and keeping you organized.
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Convert Parquet, Avro, ORC & Feather via ParquetReader to JSON
For ParquetReader, this workflow automates the conversion of Parquet, Avro, ORC, and Feather files to JSON format. Triggered by a simple file upload via webhook, it efficiently processes data and returns structured results, making data integration seamless and enhancing workflow productivity.
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address validation
Address validation for Billbee automates the verification of client shipping addresses, reducing errors and saving time. By integrating with the Endereco API, it checks and corrects addresses, ensuring accurate deliveries. The workflow tags orders based on validation results, enhancing tracking and transparency for warehouse teams.
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[1/3 - anomaly detection] [1/2 - KNN classification] Batch upload dataset to Qdrant (crops dataset)
Automated workflow for Qdrant that efficiently uploads a crops dataset from Google Cloud Storage, creates image embeddings in batches, and handles anomaly detection by filtering specific crop types. This process ensures optimized data management and enhances classification accuracy, enabling effective analysis of agricultural images.
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[3/3] Anomaly detection tool (crops dataset)
Anomaly detection tool for crops dataset automates the identification of anomalous crop images. By inputting any image URL, it generates embedding vectors and compares them against a comprehensive crop database. The tool determines if the image matches known crops or flags it as an anomaly, enhancing agricultural monitoring and decision-making.