AutomationFlowsRecipes › Chat Trigger → OpenAI Embeddings

Chat Trigger → OpenAI Embeddings

When you need Chat Trigger and OpenAI Embeddings talking to each other, here are the 181 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Chat Trigger with OpenAI Embeddings

AI & RAG

WooriFisa. Uses agent, httpRequest, documentDefaultDataLoader, vectorStorePinecone. Scheduled trigger; 86 nodes.

Agent, HTTP Request, Document Default Data Loader +14
AI & RAG

This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowle

Chat Trigger, Memory Postgres Chat, Tool Workflow +20
AI & RAG

• Create a Google Drive folder to watch. • Connect your Google Drive account in n8n and authorize access. • Point the Google Drive Trigger node to this folder (new/modified files trigger the flow).

Agent, Chat Trigger, Memory Buffer Window +14
AI & RAG

This intelligent chatbot leverages cutting-edge financial APIs and AI-driven analysis to deliver comprehensive stock research reports. Get instant access to professional-grade investment analysis that

Tool Think, Supabase Vector Store, OpenAI Embeddings +15
AI & RAG

WooriFisa 최종. Uses memoryMongoDbChat, agent, httpRequest, documentDefaultDataLoader. Scheduled trigger; 68 nodes.

Memory Mongo Db Chat, Agent, HTTP Request +14
AI & RAG

Chat with docs - 5minAI New version. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 62 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

I prepared a detailed guide that illustrates the entire process of building an AI agent using Supabase and Google Drive within N8N workflows.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG

This workflow automates multi-channel AI-driven sales engagement for lead qualification, service information delivery, and consultation booking. It integrates WhatsApp, Facebook Messenger, Instagram D

Agent, OpenAI Embeddings, OpenAI Chat +11
AI & RAG

YouTube Agent. Uses supabase, agent, lmChatAnthropic, outputParserStructured. Webhook trigger; 56 nodes.

Supabase, Agent, Anthropic Chat +10
AI & RAG

RAG AI Agent Template V5. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 56 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +12
AI & RAG

Unleash the full potential of your HighLevel CRM by adding an intelligent GPT-5 Agent that does more than just follow commands — it understands context, retrieves the right data, and executes actions

High Level Tool, Mcp Trigger, Chat Trigger +21
AI & RAG

Wordpress Ai Chatbot To Enhance User Experience With Supabase And Openai. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
AI & RAG

RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
AI & RAG

RAG & GenAI App With WordPress Content. Uses manualTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 53 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Token Splitter +9
AI & RAG

Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant. Uses documentDefaultDataLoader, textSplitterTokenSplitter, vectorStoreQdrant, splitInBatches. Event-driven trigger; 50 nodes.

Document Default Data Loader, Text Splitter Token Splitter, Qdrant Vector Store +10
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI.

Document Default Data Loader, Text Splitter Token Splitter, Qdrant Vector Store +10
AI & RAG

Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI

HTTP Request, Compression, Edit Image +15
AI & RAG

This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

Reranks #1. Uses googleDrive, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 48 nodes.

Google Drive, Supabase Vector Store, OpenAI Embeddings +12

See more Chat Trigger workflows · OpenAI Embeddings workflows

FAQ

How do I trigger a OpenAI Embeddings action from Chat Trigger?

Most workflows in this list use either a Chat Trigger webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream OpenAI Embeddings nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Chat Trigger and a OpenAI Embeddings account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these Chat Trigger → OpenAI Embeddings workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.