ADF: adf_Second_Pipeline

Evaluation metric example: RAG document relevance

AI evaluation in n8n This is a template for n8n's evaluation feature. Evaluation is a technique for getting confidence that your AI workflow performs reliably, by running a test dataset containing different inputs through the workflow. By calculating a metric (score) for each input, you can see where the workflow is performing well and where it isn't. How it works This template shows how to calculate a workflow evaluation metric: retrieved document relevance (i.e. whether the information retrie

Automated AWS S3 / Azure / Google to local MinIO object backup with scheduling

Automated AWS S3 / Azure / Google to local MinIO Object Backup with Scheduling What this workflow does ? This workflow performs automated, periodic backups of objects from an AWS S3 bucket, an Azure Container or a Google Storage Space to a MinIO S3 bucket running locally or on a dedicated container/VM/server. It can also work if the MinIO bucket is running on a remote cloud provider's infrastructure; you just need to change the URL and keys. Who's this intended for ? Storage administrators, clou

🛠️ AWS Transcribe Tool MCP server 💪 all operations

Complete MCP server exposing all AWS Transcribe Tool operations to AI agents. Zero configuration needed - all 4 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community 1. Import this workflow into your n8n instance 2. Activate the workflow to start your MCP server 3. Copy the webhook URL from the MCP trigger node 4. Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger:

🛠️ PagerDuty tool MCP server 💪 all 9 operations

Complete MCP server exposing all PagerDuty Tool operations to AI agents. Zero configuration needed - all 9 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community 1. Import this workflow into your n8n instance 2. Activate the workflow to start your MCP server 3. Copy the webhook URL from the MCP trigger node 4. Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serve

Find relevant X tweets based on your profile and suggest responses

What This Workflow Does Step 1: Analyzes your recent tweets for personality & style Step 2: Generates strategic keywords based on your profile Step 3: Searches for trending tweets in your niche Step 4: Creates personalized responses & original tweets Step 5: Displays results in beautiful HTML format How to Use 1. Execute the workflow 2. Fill out the form with: - Your X username (from your URL) - Your goals on X (multiple selection) - Optional additional info 3. Submit the form 4. Wait for pro

XOR encryption and decryption with Base64 encoding for workflow data

This workflow performs basic XOR-based encryption and decryption using a custom password. It is intended to be triggered by another workflow and processes structured input in JSON format. Input Structure The workflow expects a single array of objects with the following fields: - action-type: either "encrypt" or "decrypt" - key: the password used for encryption and decryption - data: the content to encrypt or decrypt Example: Encryption Input Example: Decryption Input Output The output returns an

Azure Logic Apps - XSLT with parameters

Creates a request-response Logic App which performs XSLT based transformation. The XSLT map takes primitives (integer, string etc.) as input parameters as uses them during XML transformation.

ADF: adf_First_Pipeline

Azure Data Factory pipeline