AutomationFlows › Recipes › Chat Trigger → Documentdefaultdataloader

Chat Trigger → Documentdefaultdataloader

When you need Chat Trigger and Documentdefaultdataloader talking to each other, here are the 229 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 Documentdefaultdataloader

AI & RAG
Woorifisa

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

Agent, HTTP Request, Document Default Data Loader +14
AI & RAG
Multi-platform AI Sales Agent with Rag, CRM Logging & Appointment Booking

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
Google Drive to Supabase Contextual Vector Database Sync for RAG Applications

• 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
Ai-powered Stock Analysis with Danelfin, Twelvedata and Alpha Vantage

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
⚡ai-powered Youtube Playlist & Video Summarization and Analysis V2

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG
AI Youtube Playlist & Video Analyst Chatbot

This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG
Woorifisa 최종

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

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
AI Agent to Chat with Files in Supabase Storage and Google Drive

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
Youtube Agent

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

Supabase, Agent, Anthropic Chat +10
AI & RAG
RAG AI Agent Template V5

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
Final

Final. Uses chatTrigger, agent, n8n-nodes-upstage, httpRequest. Chat trigger; 55 nodes.

Chat Trigger, Agent, N8N Nodes Upstage +10
AI & RAG
🤖 Create a Documentation Expert Bot with Rag, Gemini, and Supabase

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

Memory Buffer Window, Supabase Vector Store, Document Default Data Loader +8
AI & RAG
Wordpress AI Chatbot to Enhance User Experience with Supabase and Openai

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

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 (embeddings Open Ai)

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 (http Request)

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

🤖 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

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 (document Default Data Loader)

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

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

HTTP Request, Compression, Edit Image +15
AI & RAG
Workflow 2464

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

HTTP Request, Compression, Edit Image +15
AI & RAG
🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant (document Default Data Loader)

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
Scale Deal Flow with a Pitch Deck AI Vision, Chatbot and Qdrant Vector Store

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

See more Chat Trigger workflows · Documentdefaultdataloader workflows

FAQ

How do I trigger a Documentdefaultdataloader 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 Documentdefaultdataloader 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 Documentdefaultdataloader 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 → Documentdefaultdataloader 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.