Field intelligence for AI-first professionalsVol. II · Nº 56 · Saturday, August 15, 2026
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763 workflows, ready to run.

Community-built n8n automations, searchable live from the template library. Open one on n8n.io and import the JSON straight into your instance.

Automated Customer Support System with Gmail, GPT-4 & Vector Knowledge BaseTransform your customer support with this intelligent Gmail-based automation system that combines AI analysis, vector knowledge bases, and smart escalation workflows. This compreheGoogle Sheets · HTTP Request · Telegram · Gmail · Code0 views
Document Q&A chatbot with Google Drive, GPT-4-mini & Telegram (RAG system)Description 📌 Overview This workflow creates a chat-based Retrieval-Augmented Generation (RAG) agent that lets you upload documents to Google Drive and then query them directly tTelegram · Google Drive · AI Agent · Embeddings OpenAI · OpenAI Chat Model870 views
Complete Airtable Database Management with AI Agents and Redis StorageWhat this workflow does Complete Airtable database management system using MCP (Model Context Protocol) for AI agents. Create bases, tables with complex field types, manage recordsAI Agent · OpenAI Chat Model · Redis Chat Memory · MCP Client Tool0 views
Automated Document Compliance Validation with AI and Vector DatabaseDescription This workflow automates compliance validation between a policy/procedure and a corresponding uploaded document. It leverages an AI agent to determine whether the contHTTP Request · Code · AI Agent · LangChain Code · Ollama Chat Model0 views
Website Content Chatbot with Pinecone, Airtable & OpenAI for RAG ApplicationsThis n8n workflow shows how to extract website content, index it in Pinecone, and leverage Airtable to power a chat agent for customer Q&A. Use cases include: Building a knowledHTTP Request · Code · AI Agent · Embeddings OpenAI · OpenAI Chat Model0 views
AI-Powered Zendesk Support Responses with RAG, OpenAI, and Supabase Knowledge Base⚡ How it works This workflow automates first responses to new Zendesk tickets with the help of AI and your internal knowledge base. Webhook trigger fires whenever a new ticket isHTTP Request · AI Agent · Embeddings OpenAI · Supabase Vector Store · Postgres Chat Memory0 views
Web Research Automation with Structured Data and Screenshots using Firecrawl and OpenAIWho’s it for This workflow is designed for researchers, content creators, and AI agents who need to quickly scrape structured web data and capture full-page screenshots for furtheHTTP Request · AI Agent · OpenAI Chat Model0 views
Create Fact-Based Articles from Your Knowledge Sources with Super RAG and GPT-5Move beyond generic AI-generated content and create articles that are high-quality, factually reliable, and aligned with your unique expertise. This template orchestrates a sophisHTTP Request · Basic LLM Chain · OpenAI Chat Model · Structured Output Parser0 views
Create Recurring AI-Powered Data Digests in Slack with Super AssistantStop the daily grind of checking multiple apps just to stay updated. This template automates the creation of recurring digests by querying a powerful AI assistant you build on the HTTP Request · Slack0 views
Process Documents & Build Semantic Search with OpenAI, Gemini & Qdrant🎯 Overview This n8n workflow automates the process of ingesting documents from multiple sources (Google Drive and web forms) into a Qdrant vector database for semantic search capGoogle Drive · Code · AI Agent · Embeddings OpenAI · Simple Memory0 views
Natural Language Q&A for Pipedrive Leads using GPT-4o-mini📖 Description Ask natural-language questions about your Pipedrive leads. This workflow pulls live lead data from Pipedrive and has OpenAI answer questions like “leads added this wAI Agent · OpenAI Chat Model0 views
Build an Advanced Multi-Query RAG System with Supabase and GPT-5Go beyond basic Retrieval-Augmented Generation (RAG) with this advanced template. While a simple RAG setup can answer straightforward questions, it often fails when faced with compAI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory · Call n8n Workflow Tool0 views
HR Policy Retrieval using Slack, S3, and GPT-4.1-mini with RAGHR Chatbot with RAG: Retrieve Company Policies via Slack, Amazon S3, and OpenAI Overview Answer HR and company policy questions via Slack, powered by a Knowledge Base of internal dSlack · AWS S3 · AI Agent · Embeddings OpenAI · OpenAI Chat Model0 views
Answer Code of Conduct Questions in Slack with GPT-4 & RAG Technology📘 Code of Conduct Q&A Slack Chatbot with RAG Powered > Empower employees to instantly access and understand the company’s Code of Conduct via a Slack chatbot, powered by RetrSlack · Google Drive · Code · AI Agent · Embeddings OpenAI0 views
Build a PDF Q&A System with LlamaIndex, OpenAI Embeddings & Pinecone Vector DBParse, Normalize, Extract, and Store PDF Content for RAG in Pinecone This workflow automates a full RAG pipeline for structured documents (like insurance policies). What it doeHTTP Request · Google Drive · Code · Embeddings OpenAI · Recursive Character Text Splitter0 views
Query Slack Channel History with Natural Language using OpenAIChat with a Slack channel using AI. This workflow fetches the channel’s message history and lets you ask natural-language questions (“what were the decisions?”, “who’s blocked?”, “AI Agent · OpenAI Chat Model0 views
PDF Proposal Knowledge Base with S3, OpenAI GPT-4o & Qdrant RAG AgentThis template has a two part setup: Ingest PDF files from S3, extract text, chunk, embed with OpenAI embeddings, and index into a Qdrant collection with metadata. Provide a chat enAWS S3 · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Recursive Character Text Splitter0 views
Build a self-updating RAG system with OpenAI, Qdrant and Google DriveThis workflow implements a Retrieval-Augmented Generation (RAG) system that integrates Google Drive and Qdrant. This setup creates a powerful, self-updating knowledge base that prHTTP Request · Google Drive · Question and Answer Chain · Embeddings OpenAI · Vector Store Retriever1.4k views