OpenAI Chat → Notion

This n8n workflow orchestrates a powerful suite of AI Agents and automations to manage and optimize various aspects of an e-commerce operation, particularly for platforms like Shopify. It leverages La

Stopanderror Splitout. Uses outputParserStructured, lmChatOpenAi, formTrigger, chainLlm. Event-driven trigger; 85 nodes.

This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.

This workflow is ideal for individuals, marketers, agencies, and brands who want to effortlessly automate the entire blogging and social media process—from idea generation to promotion. Its primary go

This workflow is built for creators, solopreneurs, SaaS founders, and agencies looking to automate their social media content process from idea to publication. It combines the power of OpenAI, Google

Thread Extraction: Automatically detects and extracts all tweets from a provided Twitter thread (flood) link. Translation: Translates each extracted tweet into your target language using OpenAI. Rewri

Public-facing professionals (developer advocates, founders, marketers, content creators) who get bombarded with LinkedIn messages that aren't actually for them - support requests when you're in market

This workflow automates your daily social media content creation by generating unique, on-brand posts based on specific themes stored in Notion. It creates images using Fal.ai, writes captions with Op

This workflow is perfect for creators, solopreneurs, and personal brands who want to consistently publish bold, high-performing content on X (Twitter) — without writing a single line themselves. After

Wait Splitout. Uses stickyNote, manualTrigger, lmChatOpenAi, toolHttpRequest. Event-driven trigger; 39 nodes.

This n8n workflow demonstrates a simple multi-agent setup to perform the task of competitor research. It showcases how using the HTTP request tool could reduce the number of nodes needed to achieve a

AI Blog Publisher – Automated Blog Content Workflow This workflow is designed for individuals and teams who regularly publish content on their blog and want to automate the entire process from start t

📌 How it works

This n8n workflow automates the process of fetching, processing, and storing tech news articles from RSS feeds into a Notion database. It retrieves articles from The Verge and TechCrunch, processes th

Use cases Automatically detect and classify sponsorship inquiries from your Gmail inbox Extract company name, contact, budget, campaign type, and channel from emails using AI Log every deal to a Notio

Awesome N8N Templates. Uses notion, lmChatOpenAi, outputParserStructured, chainLlm. Event-driven trigger; 36 nodes.

AI-Journaling. Uses telegramTrigger, telegram, openAi, lmChatOpenAi. Event-driven trigger; 36 nodes.

Upsert Huge Documents In A Vector Store With Supabase And Notion. Uses embeddingsOpenAi, textSplitterTokenSplitter, splitInBatches, chainRetrievalQa. Chat trigger; 34 nodes.

RAG on living data. Uses embeddingsOpenAi, textSplitterTokenSplitter, splitInBatches, chainRetrievalQa. Chat trigger; 34 nodes.

This workflow adds the capability to build a RAG on living data. In this case Notion is used as a Knowledge Base. Whenever a page is updated, the embeddings get upserted in a Supabase Vector Store.

This workflow is built for individuals, teams, and businesses that receive regular inquiries via email and want to automate responses in a way that’s intelligent, brand-aligned, and always up to date.

This n8n workflow processes user feedback automatically, tags it with sentiment, and links it to relevant insights in Notion. It uses GPT-4 to analyze each feedback entry, determine whether it corresp

This n8n template lets you automatically build and maintain an AI-ready knowledge base from Outlook emails and Notion pages. It stores both sources in a Pinecone vector database so your AI agent can r

Automatically detect, classify, and document GitHub API errors using AI. This workflow connects GitHub, OpenAI (GPT-4o), Airtable, Notion, and Slack to build a real-time, searchable API error knowledg