Field intelligence for AI-first professionalsVol. II · Nº 61 · Thursday, September 24, 2026
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854 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 Research Report Generation with AI, Wiki, Search & Gmail/TelegramAutomated Research Report Generation with OpenAI, Wikipedia, Google Search, Gmail/Telegram and PDF Output Description What Problem Does This Solve? 🛠️ This workflow automates the…Google Sheets · HTTP Request · Telegram · Google Drive · Gmail4.6k views
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AI-Powered Research with Jina AI Deep SearchUnlock AI-Driven Research with Jina AI (No API Key Needed!) Following the success of Open Deep Research 1.0, we are excited to introduce an improved and fully free version: AI-P…HTTP Request · Code10.8k views
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Chat with GitHub API Documentation: RAG-Powered Chatbot with Pinecone & OpenAIThis workflow demonstrates a Retrieval Augmented Generation (RAG) chatbot that lets you chat with the GitHub API Specification (documentation) using natural language. Built with n8…HTTP Request · AI Agent · Embeddings OpenAI · OpenAI Chat Model · Simple Memory23k views
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Generate GoHighLevel deal follow-up actions with OpenAI and CogneeQuick overview This workflow triggers from a GoHighLevel webhook, schedule, or manual run to pull open opportunity and pipeline details, generate deal-specific follow-up actions us…Google Sheets · HTTP Request · Slack · Gmail · Code1 views
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Answer backlog questions from Slack with Supabase, Gemini, and OpenRouter RAGQuick Overview This workflow indexes a product backlog PDF into a Supabase vector store and lets users query it from Slack using a slash command, with Google Gemini embeddings for …HTTP Request · AI Agent · Supabase Vector Store · Default Data Loader · Embeddings Google Gemini1 views
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Run a RAG support copilot with Claude Sonnet and OpenAI embeddingsQuick overview This template ingests internal docs into an in-memory vector knowledge base using OpenAI embeddings, then runs a public support chat powered by Anthropic Claude that…AI Agent · Embeddings OpenAI · Anthropic Chat Model · Simple Memory · Recursive Character Text Splitter1 views
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Generate multi-quarter earnings reports with Google Workspace, Gemini and PineconeQuick overview This workflow ingests quarterly earnings PDFs listed in Google Sheets from Google Drive into a Pinecone vector index using Google Gemini embeddings, then uses an Ope…Google Sheets · Google Drive · Google Docs · AI Agent · OpenAI Chat Model1 views
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Chat with Google Docs and Sheets using a Claude AI agentQuick Overview This workflow opens an n8n chat interface where an AI agent powered by Anthropic Claude answers questions by reading a connected Google Doc and/or Google Sheet on de…AI Agent · Anthropic Chat Model · Simple Memory1 views
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Run Bunker Guard NPC chat and RAG lore checks with Google Gemini and Google DriveQuick overview This workflow powers dynamic character interactions for investigative games. It ingests lore from Google Drive into a vector database, using Google Gemini agents to …Google Drive · AI Agent · Simple Memory · Recursive Character Text Splitter · Simple Vector Store1 views
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Validate startup ideas and generate business plans from Telegram with Perplexity and GPT-4oQuick overview This workflow receives startup ideas via a Telegram bot, uses OpenAI (GPT-4o and GPT-4o mini) plus Perplexity to score, research, and validate them, then generates a…Google Sheets · Telegram · Google Docs · Basic LLM Chain · OpenAI Chat Model1 views
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Draft grounded Gmail support replies from a Notion KB with Groq and CohereQuick Overview This workflow ingests published Notion knowledge base articles into an in-memory vector store using Cohere embeddings, then monitors a support Gmail inbox and uses G…Gmail · Notion · Code · Basic LLM Chain · Embeddings Cohere1 views
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Sync Google Drive documents to Pinecone RAG with Google Gemini embeddingsQuick overview This workflow runs on a schedule to sync files from a Google Drive folder into a Pinecone vector index for RAG, extracting text from PDFs, XLSX, Google Docs, and spr…Google Sheets · HTTP Request · Google Drive · Pinecone Vector Store · Default Data Loader1 views
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Generate incident response reports with Supabase, Gemini and ClaudeQuick Overview This workflow ingests incident and playbook content from GitHub into Supabase (including pgvector embeddings with Google Gemini) and, on a webhook trigger, enriches …HTTP Request · Supabase · Code · AI Agent · Basic LLM Chain1 views
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Build a RAG knowledge base from PDFs with Gemini, Supabase and Google SheetsQuick Overview This workflow ingests educational PDF URLs from Google Sheets, extracts and chunks their text, generates embeddings with Google Gemini, and stores them in a Supabase…Google Sheets · HTTP Request · Google Drive · Code · AI Agent1 views
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Build a Slack knowledge graph with Claude, Neo4j and Google SheetsQuick Overview This workflow ingests chat messages via a webhook or a 15-minute schedule, filters out low-signal content, uses Anthropic Claude to extract entities and relationship…HTTP Request · Code · AI Agent · Anthropic Chat Model1 views
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Modify Liveblocks storage with JSON Patch and Anthropic ClaudeModify Liveblocks Storage with JSON Patch This example uses Liveblocks Storage, a sync engine created by Liveblocks that allows you to create collaborative applications like Figma…AI Agent · Anthropic Chat Model · Structured Output Parser1 views
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Send a daily paid acquisition and website intelligence report with Databox, GPT-4o and GmailYour paid ads and website analytics live in separate tools. This workflow bridges both via Databox MCP, runs three specialized AI agents in sequence, and emails a daily intelligenc…Gmail · Code · AI Agent · OpenAI Chat Model · MCP Client Tool1 views
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Get AI insights from Databox in Slack using OpenAIStop switching between Slack and your analytics dashboards. Mention the bot in any Slack channel, ask a business question, and get an AI-powered answer from Databox in seconds - wi…Slack · AI Agent · OpenAI Chat Model · MCP Client Tool1 views
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