OpenAI Workflows
459 Ergebnisse — 93 herunterladbare Workflow-Dateien, 366 quellenverknüpfte n8n-Referenzen
Business AI Command Center: Modular Agents for Google Workspace, Vector Search & Multi Channel Reports
Routes business requests through modular AI agents with Supabase vector search, acting across Google Drive, Gmail, Telegram, and WhatsApp.
RAG Reranking
On a chat message, answers from Google Drive documents using a Supabase vector store, Cohere reranking, and an OpenRouter agent.
Telegram RAG Chatbot with PDF Document & Google Drive Backup
On a Telegram message, answers questions from PDF documents via an OpenAI RAG agent and backs files up to Google Drive.
Build Comprehensive Entity Profiles with GPT 4, Wikipedia & Vector Db for Content
On execution, an OpenAI GPT-4 agent enriches entities with Wikipedia data and stores embeddings in Qdrant to build structured profiles.
Peliqan AI Agent with RAG and Text to SQL on All Business Data
On a chat message, an OpenAI RAG agent answers questions over business data in Peliqan and a Supabase vector store.
Qdrant RAG Chat Agent
On a chat message, retrieves and reranks context from Qdrant with Cohere, and answers via an OpenAI agent.
AI Powered Stock Analysis with AI Scoring and Gmail Report Delivery
On a chat request, analyzes stocks with an OpenRouter agent over Supabase vector data and emails the scored report via Gmail.
Automate Web Research with GPT 4, Claude & Apify for Content Analysis and Insights
Manually triggered, scrapes pages via Apify, embeds them into Qdrant, and analyzes the content with OpenAI and Claude agents.
Document Q&a System with Voyage Context 3 Embeddings
Manually triggered, embeds documents into MongoDB, then answers chat questions with OpenAI over the indexed knowledge base.
J.A.R.V.I.S.
On a Telegram message, runs an OpenAI agent with web search, calculator, and in-memory knowledge base, replying via Telegram.
Content Generator
On a schedule, reads RSS feeds, embeds articles into a MongoDB Atlas vector store, and generates AI content published to WordPress and X.
Product Recommendation RAG
On a chat message, retrieves Google Sheets product data from a Qdrant vector store and returns OpenAI-powered recommendations.
AI Powered Product Research & Price Comparison with Google Search and OpenAI
On manual run, researches products with OpenAI and Google Custom Search, then emails a price-comparison report via Gmail.
AI Enabled Helpdesk with Supabase and Jira
On a Slack message, an OpenAI agent answers helpdesk queries using Supabase vector search and creates Jira tickets, replying in Slack.
Course Recommendation System for Surveys with Data Tables and GPT 4.1 Mini
On a survey form submission, matches responses against a data table and returns GPT-generated course recommendations on the form.
[Aoe] Inbox & Calendar Management Agent
On a chat message, an OpenAI agent classifies and drafts Gmail emails and manages Google Calendar events using a vector-store memory of past mail.
Email RAG for new Emails
On a new Gmail email, embeds its content into a PGVector store and answers questions over it with an OpenAI RAG agent.
Document Based Chatbot with Memory Using OpenAI, Pinecone and Google Drive
On a chat message, answers from Google Drive documents indexed in Pinecone using OpenAI and OpenRouter, logging interactions to Airtable.
AI-Powered Email Automation
From a manual trigger, embeds documents into Pinecone and runs an AI agent that answers emails via vector search and drafts Gmail replies.
Deep Research Assistant
On a chat message, runs deep web research via Oxylabs and synthesizes the findings with OpenAI.
Scheduled Pinecone RAG Pipeline
On a schedule, embeds Google Drive files into Pinecone with OpenAI and answers chat questions via an AI agent.
Analyze Market Demand Using GPT 4o and Xpoz MCP with Notion & Email Reports
On a schedule, an OpenAI agent analyzes market demand via Xpoz MCP, saves findings to Notion, and emails reports via Gmail.
AI Powered Web Research in Google Sheets with GPT and Bright Data
On a webhook request, an OpenAI agent researches the web via MCP and HTTP, stores structured findings in a data table, and responds.
Find the Content Gaps in Your Competitors' Discourse for Market Research and SEO
On manual run, scrapes competitor pages, analyzes content gaps with OpenAI, and writes findings to Google Docs and Sheets.