AI n8n Workflows

n8n AI workflow templates and automation recipes40 free workflow templates ready to import.

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Build an AI Gmail Support Agent with Gemini & Pinecone RAG

Stop losing hours to manual customer support and repetitive inquiries. This advanced n8n workflow leverages the power of Gemini 2.5 and Retrieval-Augmented Generation (RAG) to transform your Gmail into an autonomous service desk. Unlike basic auto-responders, this system uses a LangChain agent to deeply understand intent. It proactively queries a Pinecone vector database for your specific business documentation, ensuring every answer is grounded in fact. To guarantee maximum accuracy, it incorporates a Cohere Reranking step that filters the most relevant data before the AI generates a response. The workflow functions seamlessly: it triggers on new emails, retrieves historical context from a PostgreSQL memory store to maintain conversation continuity, and drafts high-quality, professional replies. By automating the Tier-1 support layer, your team can focus on complex problem-solving while the AI handles common FAQs with human-like precision. This is an enterprise-grade solution for businesses looking to scale their communication without increasing headcount, providing 24/7 responsiveness directly within your existing email infrastructure. **Common Use Cases:** - Automated SaaS Technical Support: Instantly resolve user troubleshooting queries by indexing your product documentation and API guides. - E-commerce Order & Policy Inquiry Handling: Automatically manage customer questions regarding shipping times, refund policies, and return procedures. - Real Estate Lead Qualification: Use the agent to respond to property inquiries with specific listing details retrieved from your internal database.

8 nodos· 👁 1agentembeddingsopenaigmail

por Daniel Nkencho

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AI Invoice Extraction: Gmail to Slack via GPT-4o & n8n

This advanced n8n workflow revolutionizes accounts payable by transforming your Gmail inbox into a self-processing financial hub. Designed for high-growth agencies and finance departments, it eliminates the manual drudgery of scanning emails for billing details. The process begins with an automated trigger that monitors incoming Gmail messages for invoice-related attachments or text. Using a sophisticated LangChain agent powered by GPT-4o and a structured output parser, the workflow intelligently interprets unstructured data to pinpoint the exact payment amount, due date, vendor name, and reference numbers with human-like accuracy. Once the data is parsed, the workflow evaluates the content through conditional logic to ensure only valid financial documents proceed. Finally, it pushes a formatted summary directly to a dedicated Slack channel, allowing your team to approve payments or update ledgers without ever opening an email. By integrating AI-driven extraction with real-time messaging, this automation reduces human error, prevents late payment fees, and provides an instantaneous audit trail for all incoming liabilities, freeing your staff to focus on strategic financial analysis rather than data entry. **Common Use Cases:** - Automated Accounts Payable for Distributed Teams - Freelance Expense Tracking and Client Billing Audit - Real-time Vendor Payment Alerts for Procurement Managers

8 nodos· 👁 1agentgmailif

por Matt Chong | n8n Creator

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Discord-to-GitHub Blog Automation with Gemini AI & n8n

Transform your Discord server into a high-powered Content Management System (CMS) with this advanced n8n automation. This workflow bridges the gap between team communication and technical deployment by allowing you to draft, refine, and publish blog posts to GitHub repositories directly from a Discord channel. Powered by Google Gemini AI, the workflow doesn't just move text; it acts as an intelligent editorial assistant that formats markdown, optimizes content structure, and handles the technical overhead of Git commits. Upon receiving a message via the Discord community trigger, the Gemini-powered LangChain agent processes the input, applies necessary date-time transformations, and interfaces with GitHub to create or update files. This eliminates the need for manual PRs or navigating complex folder structures. It is an ideal solution for technical teams who live in Discord and want to maintain a 'Documentation as Code' or 'Blog as Code' workflow without switching tabs. By leveraging persistent memory, the agent can even maintain context for multi-step editing sessions, ensuring a seamless publishing experience from mobile or desktop. **Common Use Cases:** - Technical Documentation Updates: Allow developers to push quick documentation fixes or 'Today I Learned' (TIL) posts to a GitHub-hosted Hugo or Jekyll site via Discord chat. - Decentralized Content Creation: Enable community contributors or non-technical team members to submit guest posts to a repository without requiring Git command-line knowledge. - Real-time News Publishing: Streamline the process for news-heavy sites to push breaking updates to a static site generator by simply messaging a private Discord bot.

10 nodos· 👁 1agentdatetimetooldiscord

por Praneel S

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Cost-Efficient n8n Telegram AI with Dynamic Model Routing

Stop overpaying for high-end LLM tokens. This advanced n8n workflow optimizes your AI operations by implementing a multi-tier architectural approach to Telegram automation. By utilizing a sophisticated Model Selector, the system dynamically routes queries to the most cost-effective LLM based on complexity, ensuring you only use premium models when strictly necessary. To maintain long-term context without hitting token limits, the flow leverages PostgreSQL-backed chat history combined with an automated summarization engine. This process condenses previous interactions into a concise memory buffer, preserving vital context while slashing overhead. The workflow begins with a Telegram trigger, processes the intent via structured output parsing, manages stateful data in Postgres, and delivers lightning-fast responses. It is the perfect blueprint for developers and businesses looking to scale AI assistants that are both context-aware and budget-conscious, effectively solving the common trade-off between performance and operational expenditure. **Common Use Cases:** - Scalable Customer Support Bot: Provide 24/7 technical assistance on Telegram using budget models for FAQs and routing complex issues to high-reasoning models. - Personal Knowledge Management: Build a private research assistant that summarizes long-form Telegram notes and stores them in a permanent Postgres database for retrieval. - Interactive Lead Qualification: Automate initial prospect screening via chat, using dynamic routing to handle basic data collection cheaply while escalating high-value inquiries to advanced models.

25 nodos· 👁 1agentaggregatechainllm

por John Alejandro SIlva

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Automated Facebook Sentiment Analysis & Crisis Alert System

Transform your social media monitoring from reactive to proactive with this advanced n8n automation. This workflow serves as an AI-driven brand guardian, utilizing GPT-4 to dissect the emotional context of Facebook audience interactions. Instead of manually scrolling through threads, this solution programmatically extracts posts and comments via the Facebook Graph API to evaluate public perception in real-time. The logic is designed for high-stakes brand management: it uses structured data parsing to categorize feedback, instantly triggers Slack alerts for negative sentiment to mitigate PR crises, and archives all interactions in Google Sheets for long-term trend mapping. The process culminates in a professional executive summary delivered via Microsoft Outlook, ensuring stakeholders remain informed of community health without lifting a finger. By integrating LLM-powered intelligence with cross-platform reporting, businesses can reduce manual moderation time by 90% while ensuring no critical customer feedback ever goes unnoticed. **Common Use Cases:** - Enterprise PR Crisis Management & Rapid Response - Automated Brand Reputation Monitoring for Digital Agencies - Customer Satisfaction Tracking for Social Media Campaigns

15 nodos· 👁 1agentcodeerrortrigger

por Rahul Joshi

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Build a WhatsApp AI Chatbot for PDF Support via n8n & RAG

Transform your static business documents into an interactive AI support system with this advanced n8n automation. This workflow leverages Retrieval-Augmented Generation (RAG) to bridge the gap between your private Google Drive repository and your customers' favorite messaging app. The process begins with an automated trigger: whenever a new PDF is uploaded to a designated Google Drive folder, the system instantly parses the text, generates high-dimensional embeddings via OpenAI, and indexes them within a Pinecone vector database. On the front end, the workflow manages incoming WhatsApp inquiries through a sophisticated LangChain agent powered by Google Gemini. Instead of providing generic AI responses, the agent queries your specific Pinecone index to retrieve factual snippets from your documents, ensuring high accuracy and reduced hallucination. This setup eliminates the manual overhead of searching through manuals or FAQs, providing instant, context-aware answers 24/7. It is a professional-grade solution for businesses looking to deploy a private knowledge base without writing complex code, ensuring data remains organized and accessible via a seamless chat interface. **Common Use Cases:** - Automated Customer Support for Technical Product Manuals - Internal Employee Policy & HR Benefits Assistant - Real Estate Agent Tool for Instant Property Portfolio Queries

14 nodos· 👁 1agentchattriggerdocumentdefaultdataloader

por Neeraj Chouhan

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Automate AI Video Generation with Gemini & Kie AI (n8n)

This advanced n8n workflow revolutionizes content production by establishing a fully autonomous pipeline for hyper-realistic AI video creation. By integrating Google Gemini’s creative reasoning with the Kie AI (Sora 2) video engine, the system eliminates the manual labor associated with prompt engineering and video editing. The process begins with a scheduled trigger that prompts Gemini to conceptualize unique cinematic nature scenes. These prompts are dynamically injected into the Kie AI API to generate high-definition, 10-second clips. The workflow then manages the asynchronous processing state using a wait-and-poll logic to ensure the video is fully rendered before retrieval. Finally, the finished asset is pushed directly to a Telegram channel. This is an essential tool for digital agencies and social media managers who need to maintain a consistent posting cadence without the overhead of traditional stock footage costs. It transforms a complex, multi-step creative process into a 'set-and-forget' background operation, ensuring a steady stream of high-quality visual assets for any marketing platform. **Common Use Cases:** - Automated B-roll production for faceless YouTube channels and TikTok creators. - Daily cinematic content delivery for luxury brand Telegram communities. - Batch generation of high-quality nature backgrounds for digital signage and retail displays.

8 nodos· 👁 1chainllmhttprequestlmchatgooglegemini

por Daniel Nkencho

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Automate WooCommerce Inventory & AI Product Drafting with n8n

Stop manual data entry and price monitoring with this advanced n8n automation designed for high-scale e-commerce operations. This workflow bridges the gap between supplier websites and your WooCommerce storefront by leveraging BrowserAct for intelligent web scraping and Google Gemini AI for content enrichment. The process begins by monitoring supplier stock levels and pricing in real-time. If a product exists, the workflow instantly synchronizes your inventory to prevent overselling. For new arrivals, the system utilizes a Gemini-powered agent to scrape technical specifications and transform them into SEO-optimized product titles and descriptions. By integrating Google Sheets for data logging and Slack for instant status notifications, this template provides a robust command center for dropshippers and multi-vendor retailers. It eliminates the human error associated with manual updates, ensuring your store is always profitable and your product listings are professionally curated without lifting a finger. **Common Use Cases:** - Automated Dropshipping Sync: Monitor supplier stock changes and auto-update retail prices based on margin rules. - AI-Enhanced Catalog Expansion: Automatically draft SEO-friendly product descriptions for new inventory items scraped from manufacturer portals. - Multi-Channel Price Guard: Prevent losses by instantly syncing WooCommerce prices whenever a third-party distributor changes their wholesale cost.

20 nodos· 👁 1agentcodegooglesheets

por Madame AI Team | Kai

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AI LinkedIn Automation: RSS to Visual Posts with Gemini & n8n

Stop manual content curation and scale your professional brand with this high-performance n8n automation. This workflow functions as a 24/7 digital editor for your LinkedIn Company Page. It begins by monitoring industry-specific RSS feeds to capture the latest trends and news. Instead of simple reposting, the engine utilizes Google Gemini AI to critically analyze the source material, selecting only the highest-value insights that resonate with your target audience. The intelligence layer then transforms long-form articles into engaging, human-centric LinkedIn copy, while simultaneously triggering the Templated.io API to generate branded, high-conversion visuals featuring dynamic headlines. This ensures your posts aren't just text-heavy, but visually striking and consistent with your corporate identity. By integrating structured output parsers and conditional logic, the flow guarantees that only polished, high-quality content reaches your feed. This is an essential solution for marketing agencies and thought leaders who need to maintain a consistent social media presence without the overhead of manual copywriting and graphic design. **Common Use Cases:** - Automated Thought Leadership: Curating niche industry news to position executives as subject matter experts. - Agency Content Scaling: Managing multiple client LinkedIn pages by syncing specific industry feeds to unique brand templates. - Real Estate & Market Updates: Automatically turning daily market report RSS feeds into visual social media snippets.

15 nodos· 👁 1agentaggregatecode

por Shrishti S Nagar

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AI Telegram Chatbot for Lead Gen: n8n, RAG & GPT-4o Guide

Transform your customer engagement with this advanced n8n automation that bridges the gap between instant AI support and structured lead management. This workflow deploys a sophisticated RAG (Retrieval-Augmented Generation) chatbot via Telegram, utilizing GPT-4o and Pinecone vector storage to provide hyper-accurate answers based on your specific business documentation. Unlike basic bots, this system intelligently distinguishes between general inquiries and high-intent sales queries. When a potential lead interacts, the AI agent autonomously extracts contact details and syncs them directly to Google Sheets in real-time. This eliminates manual data entry and ensures your sales team never misses a follow-up opportunity. The workflow utilizes a Buffer Window Memory to maintain conversational context, ensuring a human-like interaction. By automating repetitive FAQs and centralizing lead capture, businesses can reduce support overhead by up to 40% while maintaining a 24/7 presence. It is the perfect solution for scaling agencies and service providers who need a white-label support infrastructure that works while they sleep. **Common Use Cases:** - Real Estate Lead Capture: Qualifying property inquiries and booking viewings via Telegram. - SaaS Technical Support: Automated troubleshooting using a private knowledge base and Pinecone. - E-commerce Concierge: Handling product availability questions and collecting pre-order contact info.

10 nodos· 👁 1agentchattriggerembeddingsopenai

por Karol Otręba

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AI Gmail Assistant: Human-in-the-Loop GPT-4o Email Automation

Transform your inbox into a high-efficiency productivity engine with this advanced n8n workflow. By leveraging GPT-4o-mini and LangChain, this automation intelligently categorizes incoming Gmail messages and drafts contextually aware responses. Unlike fully autonomous bots that risk sending inaccurate information, this 'Human-in-the-Loop' pattern creates a draft and pauses for your approval, ensuring every outgoing message maintains your professional brand voice. The technical flow begins with a Gmail trigger that captures new emails. A LangChain text classifier determines the intent of the message, which then routes through an LLM chain to generate a structured, personalized reply. Using structured output parsers, the workflow prepares a draft within your Gmail account. Finally, it utilizes an approval mechanism, allowing you to review, edit, or send the AI-generated text with a single click. This architecture eliminates the 'blank page' syndrome and slashes response times by up to 80%, making it an essential tool for scaling operations without sacrificing the human touch. **Common Use Cases:** - Scalable Customer Support: Automatically draft technical troubleshooting steps for common tickets for agent verification. - B2B Sales Outreach: Instant drafting of personalized follow-ups for inbound leads based on specific inquiry details. - Recruitment Screening: Streamline high-volume candidate communication by drafting interview invites or status updates.

10 nodos· 👁 1chainllmgmailgmailtrigger

por Yusuke Yamamoto

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Build a Custom AI Knowledge Base with n8n, Supabase & Drive

Transform your fragmented company data into a high-performance AI knowledge assistant with this advanced n8n RAG (Retrieval-Augmented Generation) automation. Unlike basic chatbots, this workflow establishes a continuous synchronization pipeline between your Google Drive folders and a Supabase vector database. It utilizes OpenAI’s advanced embeddings to index your documents, ensuring that every response generated by the LangChain agent is grounded in your specific business facts rather than generic AI training data. The automation handles the heavy lifting of document management: it monitors for new files, extracts text, handles deduplication, and manages long-term memory via Postgres. This prevents 'hallucinations' by forcing the AI to reference your internal PDFs and docs before answering. By automating the data ingestion and retrieval cycle, you eliminate the manual task of updating AI models. This setup is perfect for organizations needing a secure, private, and scalable way to query their internal documentation in real-time, providing a seamless bridge between cloud storage and conversational intelligence. **Common Use Cases:** - Automated Customer Support Desk for complex technical product manuals - Internal Legal & Compliance AI for searching corporate policy documents - Sales Enablement Bot to query past proposals and case studies during calls

32 nodos· 👁 1agentchattriggerdocumentdefaultdataloader

por Jainik Sheth

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Automate Zoho CRM Leads with AI Agents & MCP (n8n Guide)

Transform your sales operations by deploying an autonomous AI Agent to manage your Zoho CRM pipeline. This advanced n8n workflow leverages the Model Context Protocol (MCP) and OpenAI’s GPT models to bridge the gap between natural language and structured data management. Instead of manual data entry, users can interact with their CRM using conversational commands to instantly create, retrieve, or update lead records. The flow utilizes a LangChain-powered agent equipped with a Buffer Window Memory to maintain context across interactions, ensuring seamless lead qualification and follow-ups. By integrating the n8n Zoho CRM toolset with an MCP Client, this template eliminates the friction of navigating complex CRM interfaces. It is ideal for sales teams looking to automate repetitive admin tasks, maintain high data integrity, and respond to opportunities faster. From updating lead statuses after a meeting to bulk-fetching prospects for outreach, this automation serves as a 24/7 virtual sales assistant that understands your business logic and executes tasks with precision. **Common Use Cases:** - Voice-to-CRM Lead Entry: Convert transcribed sales meeting notes into structured Zoho CRM leads automatically using AI interpretation. - Automated Lead Qualification: Use the AI agent to analyze incoming lead data and update custom fields or priority scores based on pre-defined business criteria. - Conversational Pipeline Audits: Allow sales managers to query lead statuses and recent updates using natural language via Slack or Mattermost integrations.

11 nodos· 👁 1agentchattriggerlmchatopenai

por Rohit Dabra

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AI BIM Cost Estimation: Revit & IFC to Excel with n8n

Transform your pre-construction phase with this advanced AI-driven BIM cost estimation workflow. By bridging the gap between architectural models and financial forecasting, this automation eliminates hours of manual data entry and price research. The process begins by ingesting architectural data from Revit or IFC files, utilizing a local exporter when necessary. It then leverages the analytical power of GPT-4 and Claude to interpret complex element groups, applying real-time material pricing and quantity takeoff logic. Unlike traditional spreadsheets, this workflow evaluates data confidence and enriches each line item with context-aware financial insights. The final output is a professional-grade suite of deliverables: a comprehensive multi-sheet Excel workbook for granular analysis and a polished HTML executive summary for stakeholder presentations. This is an essential tool for AEC firms looking to minimize human error in quantity surveying, accelerate the bidding process, and maintain high-accuracy cost projections using state-of-the-art LLM orchestration. **Common Use Cases:** - Automated Quantity Surveying for rapid pre-construction bidding and tender preparation. - Real-time material price auditing to identify budget variances in large-scale Revit projects. - Generating executive-level financial feasibility reports directly from IFC architectural models.

47 nodos· 👁 1agentcodeexecutecommand

por Artem Boiko

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Automate Business Card Data: Slack to Google Sheets (GPT-4o)

Stop letting valuable networking leads gather dust in your wallet or Slack history. This advanced n8n workflow leverages the multimodal power of GPT-4o to transform simple business card photos into a structured CRM database instantly. Designed for high-velocity sales teams and event marketers, this automation eliminates the friction of manual data entry by acting as an intelligent OCR bridge between Slack and Google Sheets. When a team member uploads a card image to a designated Slack channel, the workflow triggers an HTTP request to fetch the binary data, which is then processed by an AI Agent. Using structured output parsing, GPT-4o accurately extracts names, emails, job titles, and company details—even from complex or stylized card designs. The data is then automatically appended to your Google Sheets master list, and a confirmation message is sent back to Slack to ensure the user that the lead has been successfully captured. This flow doesn't just digitize text; it understands context, ensuring that contact information is formatted correctly for immediate follow-up sequences or CRM imports. **Common Use Cases:** - Conference Lead Capture: Sales reps can snap photos of cards on the expo floor and sync them to a shared sheet for the SDR team to call immediately. - Executive Networking Sync: Busy executives can delegate contact management by simply Slacking photos of cards to an automated 'Contacts' channel. - Field Marketing CRM Entry: Brand ambassadors at pop-up events can rapidly digitize visitor information without needing access to a full CRM suite.

8 nodosagentgooglesheetshttprequest

por Toshiki Hirao

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Automate Market Intelligence: AI Web Scraping to Slack Guide

Transform your competitive intelligence gathering with this advanced n8n automation. This workflow eliminates the manual drudgery of monitoring industry shifts by deploying BrowserAct to harvest real-time growth signals, such as recent funding rounds, executive hires, or product launches. Instead of sifting through raw data, the flow utilizes OpenRouter’s AI models to intelligently filter, categorize, and summarize only the most relevant insights for the current month. By integrating a structured output parser, the workflow ensures data integrity before delivering a polished, actionable report directly to your Slack workspace. Business leaders can now move from reactive searching to proactive strategy, receiving high-signal market updates on a scheduled basis. This automation is particularly effective for teams needing to stay ahead of market trends without increasing headcount, providing a scalable solution for data-driven decision-making. The process begins with a scheduled trigger, moves through autonomous web navigation, undergoes AI-driven synthesis, and concludes with a seamless notification to your team's communication hub. **Common Use Cases:** - VC Deal Sourcing & Startup Funding Tracking - ABM Signal Monitoring for High-Value Sales Prospects - Competitor Product Launch & Market Expansion Alerts

8 nodosagentlmchatopenroutern8n-nodes-browseract.browseract

por Madame AI Team | Kai