AutomationFlowsRecipes › Documentdefaultdataloader → Outputparserstructured

Documentdefaultdataloader → Outputparserstructured

When you need Documentdefaultdataloader and Outputparserstructured talking to each other, here are the 88 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Documentdefaultdataloader with Outputparserstructured

AI & RAG

Camila IA. Uses postgres, crypto, redis, agent. Webhook trigger; 92 nodes.

Postgres, Crypto, Redis +13
AI & RAG

A lightweight, self-hosted AI assistant built entirely in n8n. Multi-channel messaging (Telegram, WhatsApp, Gmail), persistent memory, task management, and autonomous work — all in a single visual wor

Telegram Trigger, OpenRouter Chat, Data Table +20
AI & RAG

Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.

Gmail Tool, Google Calendar Tool, Gmail +24
AI & RAG

My Workflow. Uses outputParserStructured, httpRequest, lmChatGoogleGemini, chainLlm. Scheduled trigger; 82 nodes.

Output Parser Structured, HTTP Request, Google Gemini Chat +15
AI & RAG

Agent IA Projet Client. Uses executeWorkflowTrigger, lmChatOpenAi, toolWorkflow, vectorStoreQdrant. Event-driven trigger; 79 nodes.

Execute Workflow Trigger, OpenAI Chat, Tool Workflow +16
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

⚡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

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

This advanced n8n workflow automates the full lead enrichment, qualification, and personalized outreach process tailored specifically for the B2B real estate sector. Integrating top platforms like Api

N8N Nodes Fillout, OpenAI Chat, Pinecone Vector Store +11
AI & RAG

Search Worflow Docker Complete. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 71 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +14
AI & RAG

This workflow ingests incident and playbook content from GitHub into Supabase (including pgvector embeddings with Google Gemini) and, on a webhook trigger, enriches a test incident with historical mat

Document Default Data Loader, Google Gemini Embeddings, HTTP Request +9
AI & RAG

This consists 3 different workflows. Each one should be saved into individual workflows.

Supabase, Perplexity, Agent +10
AI & RAG

This n8n template automatically classifies incoming emails (Sales, Support, Internal, Finance, Promotions) and routes them to a dedicated OpenAI LLM Agent for processing. Depending on the category, th

OpenAI, Gmail, Text Classifier +16
AI & RAG

crawl4 ai. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +12
AI & RAG

Search Worflow Docker. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +12
AI & RAG

This simple philosophy changes the way we think about automated sales agents. Context changes everything. In this 4-part workflow, we start by creating a knowledge base that will act as context across

Pinecone Vector Store, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +12
AI & RAG

Build a powerful, customizable AI chatbot for your WordPress website that intelligently retrieves posts, answers questions, and engages in natural conversations. This complete solution handles content

Qdrant Vector Store, OpenAI Embeddings, Document Default Data Loader +10
AI & RAG

Turn unstructured pitch decks and investment memos into polished Due Diligence PDF reports automatically. This n8n workflow handles everything from document ingestion to final delivery, combining inte

HTTP Request, Pinecone Vector Store, OpenAI Embeddings +7
AI & RAG

Transform raw investment memorandums and financial decks into comprehensive, professional Due Diligence (DD) PDF reports. This workflow automates document parsing via LlamaParse, enriches internal dat

HTTP Request, Pinecone Vector Store, OpenAI Embeddings +7
AI & RAG

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

Supabase, Agent, Anthropic Chat +10
AI & RAG

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

Chat Trigger, Agent, N8N Nodes Upstage +10
AI & RAG

A production-ready 3-workflow system that handles customer support across WhatsApp and Email using RAG-powered AI. Automatically routes queries, detects escalation intent, logs handoffs to Google Shee

Form Trigger, Pinecone Vector Store, Document Default Data Loader +12
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

See more Documentdefaultdataloader workflows · Outputparserstructured workflows

FAQ

How do I trigger a Outputparserstructured action from Documentdefaultdataloader?

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

Do I need both a Documentdefaultdataloader and a Outputparserstructured 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 Documentdefaultdataloader → Outputparserstructured 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.