Workflow Templates

This workflow integrates a chatbot frontend with a backend powered by Langflow, a visual low-code AI development tool. The flow is triggered whenever a chat message is received via the n8n chatbot widget embedded on a website. It then sends the message to a Langflow flow for processing and returns the generated response to the user. How It Works Chat Trigger: The workflow starts with a webhook trigger (When chat message received) that listens for incoming chat messages from the n8n Chat interface. Langflow Integration: The chat input is sent to a Langflow instance via an HTTP request (Langflow node). The request includes the user's message and expects a response from the Langflow flow. Response Processing: The output from Langflow is extracted and formatted using the Edit Fields node, ensuring the chatbot displays the response correctly. Customization: Sticky notes provide instructions for embedding the n8n Chat widget on a website and customizing its appearance, including welcome messages, language settings, and branding. Set Up Steps Configure Langflow Connection: Replace LANGFLOW_URL and FLOW_ID in the HTTP request node with your Langflow instance details. Ensure the API headers (e.g., Content-Type: application/json) and authentication (if required) are correctly set. Deploy n8n Chat: Add the provided CDN script to your website, replacing YOUR_PRODUCTION_WEBHOOK_URL with the webhook URL generated by the When chat message received node. Customize the chatbot’s UI (e.g., title, placeholder text, initial messages) using the JavaScript snippet in the sticky notes. Activate Workflow: Toggle the workflow to "Active" in n8n. Test the chatbot by sending a message and verifying the Langflow response is processed and displayed correctly. Advantages ✅ Seamless Langflow Integration It allows n8n to communicate directly with a Langflow flow via API, enabling AI responses using custom-designed Langflow logic. ✅ No-Code Chatbot Deployment With just a script snippet, the chatbot widget can be embedded into any website. Minimal coding is required to launch a fully functioning AI chatbot. ✅ Customizable UI/UX The included embed code offers full control over the chatbot's appearance, language, welcome message, input placeholder, and branding—ideal for white-label or customer-facing deployments. ✅ Modular and Extensible Because it's built in n8n, this chatbot can be easily extended with other services like CRMs, email alerts, or databases, without leaving the platform. ✅ Real-Time AI Interactions Thanks to Langflow's API and chat response support, users get immediate and dynamic AI-driven replies. Need help customizing? Contact me for consulting and support or add me on Linkedin.

This simple workflow will fetch a YouTube playlist every n minutes and send the new items s to a collection in Raindrop. You can connect any application at the end of the flow. Make sure to authenticate to YouTube using Google Auth, and to Raindrop using an API. Update the Playlist ID and the Raindrop collection.

Transform your email workflow with this intelligent automation that drafts professional emails through Telegram commands using AI and contact retrieval. Key Features 📱 Telegram Integration: Send email requests directly from Telegram 🤖 AI-Powered Email Generation: Uses OpenAI GPT-4 to create formal, professional emails 📧 Smart Contact Retrieval: Leverages Pinecone vector database with RAG to automatically find recipient email addresses ✉️ Gmail Draft Creation: Automatically creates email drafts in your Gmail account 📋 Google Docs Integration: Sync contact data from Google Docs to vector database 🎯 Structured Email Formatting: Ensures consistent professional email format with proper recipients and formal tone How It Works Send Message: Send a message via Telegram with your email request AI Processing: AI agent processes your request and queries the contact database to find recipient emails Email Generation: OpenAI generates a professionally formatted email based on your input Draft Creation: Gmail draft is automatically created with the formatted content Confirmation: Receive confirmation via Telegram with a completion sticker Perfect For Business professionals managing multiple contacts Academic professionals (professors, researchers) who frequently send formal emails Anyone wanting to streamline their email creation process with AI assistance Required Credentials Telegram Bot API OpenAI API google OAuth2 for(gmail&docs) Pinecone Vector Database Setup Instructions Load Contact Data: Add your contact information to the Google Docs document Configure Pinecone: Set up your Pinecone index with namespace "contacts" Connect Services: Add all required API credentials to their respective nodes Customize AI: Modify the AI system message and sender name in the AI Agent node Test Workflow: Run the manual trigger to populate your vector database first ** Ex. of the google docs data

This n8n workflow automatically captures LinkedIn leads from multiple sources (new connections, post engagements), enriches the data with AI-powered scoring, eliminates duplicates, syncs to Google Sheets and your CRM (HubSpot or Salesforce), and sends instant notifications to your sales team for high-quality leads. No more manual copy-pasting or lost opportunities—every LinkedIn interaction becomes a tracked, qualified lead ready for follow-up. Benefits Zero Manual Data Entry:** Eliminates tedious copy-paste work—saves 10+ hours per week for active LinkedIn users Smart Lead Scoring:** AI calculates quality scores (0-100) and assigns temperature labels (Hot/Warm/Cold) based on engagement patterns Multi-Source Capture:** Monitors new connections, post comments, likes, and shares to catch leads from all touchpoints Duplicate Prevention:** Tracks leads for 90 days to avoid database clutter and redundant outreach Instant Sales Alerts:** Notifies team via Slack/Email within seconds for Hot & Warm leads, enabling rapid follow-up CRM Integration:** Syncs directly to HubSpot or Salesforce with custom fields for lead temperature and quality metrics Built-in Analytics:** Tracks cumulative statistics (total leads, temperature distribution) for performance monitoring Always-On Automation:** Runs every 15 minutes 24/7, capturing leads even when you're sleeping or in meetings Useful for Which Industry B2B SaaS & Tech:** Sales teams prospecting decision-makers and capturing demo requests from LinkedIn content Consulting & Professional Services:** Agencies tracking client inquiries and partnership opportunities from thought leadership posts Recruiting & HR:** Talent acquisition teams building candidate pipelines from LinkedIn engagement Real Estate & Financial Services:** Agents capturing high-intent leads from market updates and educational content Marketing Agencies:** Business development teams converting social engagement into qualified opportunities E-Learning & Coaching:** Course creators and consultants tracking interested prospects from free content Manufacturing & B2B Sales:** Enterprise sales teams monitoring buying committee members engaging with product content How it works Monitor LinkedIn - Checks every 15 minutes for new connections and post engagements Extract data - Pulls profile information, company, position from multiple sources Score leads - Calculates quality score (0-100) and assigns temperature (Hot/Warm/Cold) Prevent duplicates - Tracks leads for 90 days to avoid duplicate entries Sync to platforms - Saves to Google Sheets and your CRM (HubSpot or Salesforce) Smart notifications - Alerts sales team via Slack/Email for Hot and Warm leads only Setup steps Connect LinkedIn - Add OAuth2 credentials to both LinkedIn nodes Setup Google Sheets - Create spreadsheet with these columns: leadId, fullName, firstName, lastName, email, phone, company, position, headline, location, profileUrl, leadSource, leadTemperature, qualityScore, engagementType, commentText, dateAdded, status, assignedTo, notes, lastUpdated Choose CRM - Enable either HubSpot OR Salesforce nodes (disable the other) Configure alerts - Add Slack webhook URL and/or email settings Test workflow - Run manually first to verify all connections Activate - Turn on for automatic lead capture Key features Smart scoring**: Quality score based on engagement level and profile completeness Temperature labels**: Hot (70+), Warm (50-69), Cold (<50) for prioritization No duplicates**: 90-day tracking prevents duplicate entries Multi-CRM support**: Works with HubSpot or Salesforce Analytics built-in**: Tracks total leads and temperature distribution

🚀 How It Works Turn your WhatsApp chats into an AI-powered meeting scheduler with Google Gemini, Google Calendar, and Google Sheets. This workflow understands natural language like “Book a meeting with Ali at 3 PM tomorrow”, checks your contacts, avoids overlaps, and updates your calendar automatically all from WhatsApp. It’s a complete AI scheduling system built for founders, teams, and service providers who manage clients over chat. 🔁 Workflow Overview WhatsApp Trigger** → Captures incoming messages in real time Intent Agent (Gemini)** → Detects scheduling intent (create / edit / cancel) Google Sheets** → Finds contact names, emails, and tags Get Events** → Checks existing meetings to prevent conflicts Correction Agent + Intent Check** → Confirms details with AI Calendar Agent (Gemini)** → Executes the calendar action intelligently Create / Update / Delete Event** → Syncs instantly to Google Calendar Response Node** → Sends WhatsApp and email confirmations ⚙️ Quick Setup (⏱ ~15 min) Connect WhatsApp Cloud API – link your WhatsApp Business account Authenticate Google Calendar & Sheets – use Sheets for contacts (Name | Email | Type) Add Google Gemini API Key – used by Intent, Correction, and Calendar agents Customize Prompts – adjust tone and language in the Gemini nodes Test Your Flow – e.g., message “Schedule meeting with Ali at 10 AM Friday” to verify calendar and confirmation replies 💡 All setup details are also documented inside the workflow sticky notes. 🧩 Integrations WhatsApp Cloud API Google Calendar API Google Sheets API Google Gemini (LLM) 💡 Benefits ✅ Automates scheduling directly from WhatsApp ✅ Understands natural language requests ✅ Prevents double-bookings automatically ✅ Sends instant confirmations ✅ Saves hours of manual coordination 👥 Ideal For Entrepreneurs & consultants managing clients on WhatsApp Sales or support teams booking demos and meetings Virtual assistants and AI service providers Anyone who wants a 24/7 AI calendar manager

Quick overview This n8n template ingests your entire Notion database into a Supabase vector store, making every page searchable by an AI assistant or chatbot. It runs on a schedule to keep your knowledge base in sync automatically, and each run is safe to repeat — no manual cleanup, no duplicate embeddings. How it works Clears the knowledge base before each run so re-runs are always safe and up to date Fetches all pages in your Notion database Retrieves the full block content of each page Skips empty pages Prepends each page's title to its content and appends the source Notion URL, then splits into chunks and generates embeddings using Ollama's nomic-embed-text Stores the embeddings in Supabase, ready for semantic search Setup Create a Notion internal integration, share your target database with it, and add a Notion API credential in n8n. Enable pgvector in Supabase, create the documents table and match_documents function, and add a Supabase credential (Project URL and service_role key) in n8n. Install and run Ollama, pull nomic-embed-text, and add an Ollama credential pointing to your Ollama base URL. In the Notion node, replace YOUR_DATABASE_ID with your Notion database ID, and in the Supabase delete request, replace YOUR_SUPABASE_PROJECT_URL with your Supabase Project URL. Requirements Supabase account with pgvector enabled Notion account with an internal integration connected to your database Ollama running locally (ollama.com) with nomic-embed-text pulled Customization Swap the Ollama embedding node for OpenAI, Cohere, or HuggingFace. The workflow uses n8n's LangChain-based embedding pipeline, so any supported embedding model works. If you switch models, update the vector(768) column in your SQL to match the new dimension. Adjust chunk size and overlap in the Split Text for Processing node to suit your content. To capture content inside toggles and deeply indented lists, enable Also Fetch Nested Blocks in the Fetch Page Blocks node. For large databases, leave it off to avoid Notion API rate limits. Additional info Pairs well with: Search multiple knowledge bases with an Agentic RAG assistant (query everything you've stored).

Say Goodbye to Manual Prospect Research! Imagine walking into every discovery call fully prepared with company background, recent news, and perfectly tailored questions, without spending a single minute prepping. This AI-powered workflow connects to your Google Calendar, looks for upcoming discovery calls, sends an AI out to do deep web research on your prospects, and drops a neat briefing right into Slack and Google Drive. By fully automating the research phase, you get over 45 minutes of your life back per call. Why You'll Love This Workflow Get your time back:** Cuts prep time from 45 minutes to zero. Save money:** No need to pay for pricey sales intelligence tools or hire virtual assistants just to google companies. Zero duplicates:** It’s smart enough to remember which calls it’s already prepped for, so you won't get annoyed by duplicate alerts. Built to scale:** Whether you have 1 call tomorrow or 20, the prep quality stays exactly the same. Who Is This For? Sales Reps (AEs & SDRs):** Nail those high-stakes discovery calls with automated background checks and news updates. Founders & Consultants:** Spot pain points and company growth signals before you even say "hello" to position your services better. Agency Ops Teams:** Standardize how your team preps and automatically organize all client data neatly into Google Drive folders. How The Magic Happens The Kickoff: Every day at 4:00 PM, the automation wakes up to prep for tomorrow's meetings. Finding the Meetings: It grabs all your upcoming events from Google Calendar. Filtering: It specifically looks for keywords (like "discovery" or "call") and ignores any meetings it has already researched for you. The AI Researcher: An AI agent uses Firecrawl to scour the web, read the company’s website, and dig up recent news, leadership changes, and funding info. Filing It Away: The workflow creates a dedicated client folder in Google Drive (or finds the existing one) and saves a structured research doc. The Ping: You get a handy summary in your #ops Slack channel with the brief and a direct link to the Drive folder. What You Need to Get Started n8n instance (The engine that runs the automation) Google Calendar (To find your meetings) OpenAI API (The brain doing the research) Firecrawl API (For reading websites) Google Drive (For saving the docs) Slack (For sending you alerts) Easy Setup Steps Import the JSON file to your n8n instance. Connect your accounts: Log into your Google, OpenAI, Firecrawl, and Slack accounts so the workflow has permission to do its job. Tell it where to put things: In the Search Client Folder node, pick your main "CLIENTS" Drive folder. In the Notify Ops Channel node, pick the Slack channel you want the alerts to go to. Tweak the keywords: If you call your meetings something specific (like "Intro" or "Demo"), update the keywords in the Extract Call Details node. Give it a test run: Trigger the workflow manually to make sure it catches a test event and generates a brief! Make It Your Own The Basics: Change the trigger words to match how you name your meetings. Adjust the timer! If you'd rather have the briefs run at 6:00 AM instead of 4:00 PM, just change the schedule node. Take It to the Next Level: LinkedIn Sync:** Add a tool like Proxycurl to pull the prospect's actual LinkedIn profile. CRM Integration:** Have it drop the notes directly into Salesforce or HubSpot instead of just Google Drive. Email Delivery:** Set it up to email the brief to you 15 minutes before the meeting starts. Quick Troubleshooting Not finding any events?** Make sure your calendar invites actually have the trigger words in the title. Research coming up blank?** If the prospect used a personal @gmail.com email to book, the AI won't be able to scan a company website. Getting duplicates?** If you restart or move your n8n instance, it might "forget" what it already researched. Created by: Khairul Muhtadin | Khaisa Studio Category: Sales & CRM | Tags: AI Agent, Google Workspace, Slack, Research, Automation Need custom workflows? Contact us Connect with the creator: Portfolio • Store • LinkedIn • Medium • Threads

How It Works The workflow is an automated appointment reminder system built on n8n. Here is a step-by-step breakdown of its process: Reminder Webhook This node acts as the entry point for the workflow. It's a unique URL that waits for data to be sent to it from an external application, such as a booking or scheduling platform. When a new appointment is created in that system, it sends a JSON payload to this webhook. Extract Appointment Data This is a Code node that processes the incoming data. It's a critical step that: Extracts the customer's name, phone number, appointment time, and service from the webhook's JSON payload. Includes validation to ensure a phone number is present, throwing an error if it's missing. Formats the raw appointment time into a human-readable string for the SMS message. Send SMS Reminder This node uses your Twilio credentials to send an SMS message. It dynamically constructs the message using the data extracted in the previous step. The message is personalized with the customer's name and includes the formatted appointment details. Setup Instructions Import the Workflow Copy the JSON code from the Canvas and import it into your n8n instance. Connect Your Twilio Account Click on the "Send SMS Reminder" node. In the "Credentials" section, you will need to either select your existing Twilio account or add new credentials by providing your Account SID and Auth Token from your Twilio console. Find the Webhook URL Click on the "Reminder Webhook" node. The unique URL for this workflow will be displayed. Copy this URL. Configure Your Booking System Go to your booking or scheduling platform (e.g., Calendly, Acuity). In the settings or integrations section, find where you can add a new webhook. Paste the URL you copied from n8n here. You'll need to map the data fields from your booking system (like customer name, phone, etc.) to match the expected format shown in the comments of the "Extract Appointment Data" node. Once these steps are complete, your workflow will be ready to automatically send SMS reminders whenever a new appointment is created.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Cold Calling Automation - End-to-End Automated Cold Calling with Apify, RAG, and WhatsApp The "Cold Calling Automation" workflow is designed to fully automate the end-to-end cold calling process by intelligently combining web scraping, AI-powered research, and WhatsApp messaging. Leveraging key technologies such as Apify for data scraping, RAG (Retrieval-Augmented Generation) for intelligent content creation, and WhatsApp integration for automated outreach, this workflow transforms raw prospect data into personalized, high-converting cold calling campaigns with minimal manual intervention. 💡 Why Use Cold Calling Automation? Scale Your Outreach:** Automate hundreds of personalized cold calls without manual effort or hiring additional staff. Intelligent Personalization:** RAG technology creates highly relevant, personalized messages based on prospect research. Multi-Channel Approach:** Seamlessly integrate WhatsApp messaging with traditional cold calling methods. Real-Time Optimization:** Continuously improve message performance and conversion rates through AI analysis. Cost-Effective:** Reduce cold calling costs while dramatically increasing reach and response rates. ⚡ Who Is This For? Sales Teams:** Looking to scale their cold calling efforts with intelligent automation and personalization. Lead Generation Agencies:** Needing to deliver high-volume, high-quality cold calling services to clients. Business Development Professionals:** Seeking to maximize outreach efficiency while maintaining personal touch. Small Business Owners:** Who want professional-grade cold calling capabilities without hiring expensive sales teams. Marketing Agencies:** Offering comprehensive lead generation and conversion services to clients. ❓ What Problem Does It Solve? Traditional cold calling is time-consuming, expensive, and often ineffective due to lack of personalization and poor timing. Manual prospect research, script writing, and call execution create bottlenecks that limit outreach scale. Generic messages result in low response rates and damaged brand reputation. This workflow solves these problems by automating the entire cold calling pipeline - from prospect identification and research to personalized message creation and delivery - while maintaining high quality and relevance that converts prospects into qualified leads. 🔧 What This Workflow Does ⏱ Prospect Scraping: Uses Apify to automatically scrape and identify high-quality prospects based on your target criteria. 🔍 Intelligent Research: Employs RAG technology to research each prospect and gather relevant business intelligence. ✍️ Personalized Content: Automatically generates custom messages, scripts, and talking points for each prospect. 📱 WhatsApp Integration: Delivers personalized messages through WhatsApp automation for maximum engagement. 📊 Performance Tracking: Monitors response rates, engagement metrics, and conversion data for continuous optimization. 🤖 AI-Powered Follow-up: Automatically handles initial responses and schedules appropriate follow-up actions. 📈 Campaign Analytics: Provides detailed insights on campaign performance and ROI metrics. 🔄 Continuous Learning: Improves message effectiveness and targeting based on campaign results. This workflow also using community node: `@devlikeapro/n8n-nodes-waha` 🔐 Setup Instructions Import the provided workflow JSON into your n8n instance (Cloud or self-hosted). Set up credentials: Apify API credentials for prospect scraping OpenAI API key for RAG and content generation WhatsApp Business API credentials or WAHA integration Database credentials for prospect and campaign tracking Email credentials for notifications and reporting Customize parameters: Target prospect criteria and scraping parameters Message templates and personalization rules Campaign timing and frequency settings Response handling and follow-up logic Performance tracking and reporting preferences Test the complete workflow with a small prospect list to verify scraping, personalization, and delivery. 🧩 Pre-Requirements Active n8n instance (Cloud or Self-hosted) Apify account with appropriate scraping credits OpenAI API key with sufficient usage limits WhatsApp Business account or WAHA setup Database system for prospect and campaign management Basic understanding of your target audience and value proposition 🛠️ Customize It Further Integrate with CRM systems to sync prospects and track conversion through sales pipeline. Add voice calling capabilities using VoIP services for complete omnichannel outreach. Implement A/B testing for message templates and timing optimization. Connect with social media platforms for multi-channel prospecting and engagement. Add sentiment analysis to optimize message tone and approach for different prospect types. Integrate with calendar systems for automatic meeting scheduling from qualified responses. 🧠 Nodes Used Apify nodes for prospect scraping and data collection OpenAI Chat Model and Embeddings for RAG implementation WhatsApp/WAHA nodes for message delivery and response handling Database nodes for prospect storage and campaign tracking HTTP Request nodes for API integrations and webhooks Code nodes for data processing and personalization logic Schedule Trigger for automated campaign execution Conditional nodes for response handling and follow-up logic Set nodes for parameter configuration and data transformation Split In Batches for efficient bulk processing 📊 Expected Results 50-80% increase** in cold calling efficiency and prospect reach 25-40% higher** response rates compared to generic cold calling 60-75% reduction** in manual research and message preparation time Real-time insights** into campaign performance and prospect engagement Scalable system** that grows with your business needs 📞 Support Made by: khaisa Studio Tag: automation, cold calling, lead generation, apify, RAG, whatsapp, AI, sales automation, outreach Category: Sales Automation & Lead Generation Need a custom? contact me for more tailored templates

This template provides a workflow to integrate a Telegram bot with NeurochainAI's inference capabilities, supporting both text processing and image generation. Follow these steps to get started: > Purpose: Enables seamless integration between your Telegram bot and NeurochainAI for advanced AI-driven text and image tasks. Requirements Telegram Bot Token. NeurochainAI API Key. Sufficient credits to utilize NeurochainAI services. Features Text processing through NeurochainAI's inference engine. AI-powered image generation (Flux). Easy customization and scalability for your use case. Setup Import the template into N8N. Add your Telegram Bot Token and NeurochainAI API Key where prompted. Follow the step-by-step instructions embedded in the template for configuration. [NeurochainAI Website](https://www.neurochain.ai/ ) NeurochainAI Guides

Sync Dartagnan Email Templates to Braze Why Use This Workflow Email marketing demands consistency across platforms. This workflow automatically synchronizes your email templates from Dartagnan to Braze, eliminating manual transfers and ensuring brand consistency. Perfect for marketing teams who need to maintain a unified email experience while leveraging the strengths of both platforms. Business Benefits Save Time**: Eliminate hours of manual template copying and formatting between platforms Maintain Consistency**: Ensure your email templates look identical across Dartagnan and Braze Reduce Errors**: Automated synchronization prevents human error in template transfers Streamline Workflows**: Create once in Dartagnan, use everywhere through Braze's distribution power Preserve Image Assets**: Keep images hosted on Dartagnan while properly formatting them for Braze How It Works This workflow performs a bi-directional sync between your Dartagnan email templates and Braze platform. It intelligently handles: Template Updates: Automatically updates existing templates in Braze when modified in Dartagnan New Template Creation: Creates new templates in Braze when added to Dartagnan Image URL Transformation: Properly embeds and formats image URLs to meet Braze requirements while keeping assets on Dartagnan infrastructure Technical Implementation The workflow uses a scheduled trigger to check for template changes and then processes them in batches: Authentication: Securely connects to both Dartagnan and Braze APIs Template Retrieval: Fetches current templates from Dartagnan Comparison Logic: Determines which templates need updating or creation in Braze Content Transformation: Processes HTML content and image URLs to ensure compatibility API Integration: Pushes changes to Braze through their Content Blocks API Customization Options This workflow can be customized to meet your specific needs: Sync Frequency**: Adjust the schedule to run hourly, daily, or on any custom schedule Template Filtering**: Add conditions to sync only specific templates based on tags or categories Error Handling**: Configure notification emails when synchronization issues occur Logging**: Enable detailed logs for troubleshooting and auditing Setup Requirements Setting up this workflow takes approximately 20-30 minutes and requires: Dartagnan Requirements API Client ID API Client Secret Template access permissions Braze Requirements Braze Instance URL API Key with content block permissions Appropriate rate limits configured Common Use Cases Email Campaign Coordination**: Maintain consistent templates across platforms for multi-channel campaigns Agency Work**: Design in Dartagnan, deploy through client's Braze instance Rebranding Projects**: Update templates once and propagate changes automatically International Marketing**: Maintain language variants across platforms with automatic synchronization Get Started Once installed, configure your API credentials, set your desired synchronization schedule, and let the workflow handle the rest. The initial sync will create all your templates in Braze, with subsequent runs only updating what's changed.

n8n Workflow: Automate SIEM Alert Enrichment with MITRE ATT&CK & Qdrant Who is this for? This workflow is ideal for: Cybersecurity teams & SOC analysts* who want to automate *SIEM alert enrichment**. IT security professionals* looking to integrate *MITRE ATT&CK intelligence** into their ticketing system. Organizations using Zendesk for security incidents* who need enhanced *contextual threat data**. Anyone using n8n and Qdrant* to build *AI-powered security workflows**. What problem does this workflow solve? Security teams receive large volumes of raw SIEM alerts that lack actionable context. Investigating every alert manually is time-consuming and can lead to delayed response times. This workflow solves this problem by: ✔ Automatically enriching SIEM alerts with MITRE ATT&CK TTPs. ✔ Tagging & classifying alerts based on known attack techniques. ✔ Providing remediation steps to guide the response team. ✔ Enhancing security tickets in Zendesk with relevant threat intelligence. What this workflow does 1️⃣ Ingests SIEM alerts (via chatbot or ticketing system like Zendesk). 2️⃣ Queries a Qdrant vector store containing MITRE ATT&CK techniques. 3️⃣ Extracts relevant TTPs (Tactics, Techniques, & Procedures) from the alert. 4️⃣ Generates remediation steps using AI-powered enrichment. 5️⃣ Updates Zendesk tickets with threat intelligence & recommended actions. 6️⃣ Provides structured alert data for further automation or reporting. Setup Guide Prerequisites n8n instance** (Cloud or Self-hosted). Qdrant vector store** with MITRE ATT&CK data embedded. OpenAI API key** (for AI-based threat processing). Zendesk account** (for ticket enrichment, if applicable). Clean Mitre Data Python Script Cleaned Mitre Data Full Mitre Data Steps to Set Up 1️⃣ Embed MITRE ATT&CK data into Qdrant This workflow pulls MITRE ATT&CK data from Google Drive and loads it into Qdrant. The data is vectorized using OpenAI embeddings for fast retrieval. 2️⃣ Deploy the n8n Chatbot The chatbot listens for SIEM alerts and sends them to the AI processing pipeline. Alerts are analyzed using an AI agent trained on MITRE ATT&CK. 3️⃣ Enrich Zendesk Tickets The workflow extracts MITRE ATT&CK techniques from alerts. It updates Zendesk tickets with contextual threat intelligence. The remediation steps are included as internal notes for SOC teams. How to Customize This Workflow 🔧 Modify the chatbot trigger: Adapt the chatbot node to receive alerts from Slack, Microsoft Teams, or any other tool. 🔧 Change the SIEM input source: Connect your workflow to Splunk, Elastic SIEM, or Chronicle Security. 🔧 Customize remediation steps: Use a custom AI model to tailor remediation responses based on organization-specific security policies. 🔧 Extend ticketing integration: Modify the Zendesk node to also work with Jira, ServiceNow, or another ITSM platform. Why This Workflow is Powerful ✅ Saves time: Automates alert triage & classification. ✅ Improves security posture: Helps SOC teams act faster on threats. ✅ Leverages AI & vector search: Uses LLM-powered enrichment for real-time context. ✅ Works across platforms: Supports n8n Cloud, Self-hosted, and Qdrant. 🚀 Get Started Now! 📖 Watch the Setup Video 💬 Have Questions? Join the Discussion in the YouTube Comments!