AutomationFlows › Documentdefaultdataloader

n8n workflows for Documentdefaultdataloader.

All n8n workflows that use the Documentdefaultdataloader integration. Each is integration-tagged, privacy-stripped, and importable into your n8n instance in one click.
AI & RAG
Loading JSON via FTP to Qdrant Vector Database Embedding Pipeline

🧠 This workflow is designed for one purpose only, to bulk-upload structured JSON articles from an FTP server into a Qdrant vector database for use in LLM-powered semantic search, RAG systems, or AI as

Qdrant Vector Store, OpenAI Embeddings, Document Default Data Loader +2
AI & RAG
Auto-update Knowledge Base with Drive, Llamaindex & Azure Openai Embeddings

This Workflow auto-ingests Google Drive documents, parses them with LlamaIndex, and stores Azure OpenAI embeddings in an in-memory vector store—cutting manual update time from ~30 minutes to under 2 m

In-Memory Vector Store, Embeddings Azure Open Ai, Document Default Data Loader +3
AI & RAG
Handoff

handoff. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 13 nodes.

Chat Trigger, Agent, OpenAI Chat +7
AI & RAG
Data_ingestion_external_pdfworkaround_v3

Data_Ingestion_External_Pdfworkaround_V3. Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Scheduled trigger; 13 nodes.

Google Drive, Pinecone Vector Store, OpenAI Embeddings +2
AI & RAG
Data_ingestion_internal_pdfworkaround_v3

Data_Ingestion_Internal_Pdfworkaround_V3. Uses googleDrive, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Scheduled trigger; 13 nodes.

Google Drive, OpenAI Embeddings, Document Default Data Loader +2
AI & RAG
Create Knowledge Base From Jira Tickets with Openai Embeddings and Pinecone

This template is a workflow that registers Jira tickets to Pinecone.

Jira, Pinecone Vector Store, OpenAI Embeddings +1
AI & RAG
Helloagent_n8ncase

HelloAgent_n8nCase. Uses gmailTrigger, lmChatGoogleGemini, memoryBufferWindow, toolSerpApi. Event-driven trigger; 12 nodes.

Gmail Trigger, Google Gemini Chat, Memory Buffer Window +6
AI & RAG
Dssat RAG

dssat-rag. Uses chatTrigger, embeddingsOpenAi, agent, documentDefaultDataLoader. Chat trigger; 11 nodes.

Chat Trigger, OpenAI Embeddings, Agent +4
AI & RAG
Appflowy Content Sync to Vector Store

AppFlowy Content Sync to Vector Store. Uses n8n-nodes-appflowy, textSplitterRecursiveCharacterTextSplitter, documentDefaultDataLoader, embeddingsOllama. Event-driven trigger; 11 nodes.

N8N Nodes Appflowy, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +3
AI & RAG
Vectorize Medical Procedures for Semantic Search with Tuss, Gemini & Pgvector

This workflow vectorizes the TUSS (Terminologia Unificada da Saúde Suplementar) table by transforming medical procedures into vector embeddings ready for semantic search.

Vector Store Pgvector, Text Splitter Token Splitter, Google Gemini Embeddings +2
AI & RAG
Post De Discourser

Post de discourser. Uses httpRequest, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Scheduled trigger; 11 nodes.

HTTP Request, Supabase Vector Store, OpenAI Embeddings +2
AI & RAG
Data_ingestion_internal_v2

Data_Ingestion_Internal_v2. Uses formTrigger, googleDrive, embeddingsOpenAi, vectorStorePinecone. Event-driven trigger; 11 nodes.

Form Trigger, Google Drive, OpenAI Embeddings +3
AI & RAG
Agente_ecommerce_v3_subflujo

Agente_Ecommerce_v3_subflujo. Uses embeddingsGoogleGemini, vectorStoreQdrant, executeWorkflowTrigger, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 10 nodes.

Google Gemini Embeddings, Qdrant Vector Store, Execute Workflow Trigger +3
AI & RAG
Meeting Notes

meeting_notes. Uses googleDocs, slack, chainLlm, vectorStorePinecone. Webhook trigger; 10 nodes.

Google Docs, Slack, Chain Llm +5
AI & RAG
Convert Tour Pdfs to Vector Database Using Google Drive, Langchain & Openai

Process Tour PDF from Google Drive to Pinecone Vector DB with OpenAI Embeddings

Google Drive, Pinecone Vector Store, OpenAI Embeddings +2
AI & RAG
Bazz-doc Master (ai Document OCR & Extraction)

Bazz-Doc Master (AI Document OCR & Extraction). Uses httpRequest, agent, lmChatOpenAi, toolDocumentLoader. Webhook trigger; 10 nodes.

HTTP Request, Agent, OpenAI Chat +4
AI & RAG
Data_ingestion_v1

Data_Ingestion_v1. Uses documentDefaultDataLoader, embeddingsOpenAi, vectorStorePinecone, googleDrive. Scheduled trigger; 10 nodes.

Document Default Data Loader, OpenAI Embeddings, Pinecone Vector Store +1
AI & RAG
Trbl_ia

TRBL_IA. Uses agent, lmChatGoogleGemini, httpRequest, vectorStorePGVector. Webhook trigger; 10 nodes.

Agent, Google Gemini Chat, HTTP Request +3
AI & RAG
Google Drive PDF → Qdrant RAG Indexer

Google Drive PDF → Qdrant RAG Indexer. Uses googleDrive, vectorStoreQdrant, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 10 nodes.

Google Drive, Qdrant Vector Store, Document Default Data Loader +3
AI & RAG
Store Notion's Pages as Vector Documents Into Supabase with Openai

Store Notion's Pages as Vector Documents into Supabase with OpenAI. Uses stickyNote, embeddingsOpenAi, textSplitterTokenSplitter, notionTrigger. Event-driven trigger; 9 nodes.

OpenAI Embeddings, Text Splitter Token Splitter, Notion Trigger +3
AI & RAG
Store Notion's Pages as Vector Documents Into Supabase with Openai (embeddings Open Ai)

Store Notion's Pages as Vector Documents into Supabase with OpenAI. Uses stickyNote, embeddingsOpenAi, textSplitterTokenSplitter, notionTrigger. Event-driven trigger; 9 nodes.

OpenAI Embeddings, Text Splitter Token Splitter, Notion Trigger +3
AI & RAG
Crtnvecdb

crtnvecdb. Uses googleDriveTrigger, googleDrive, vectorStorePinecone, embeddingsOpenAi. Event-driven trigger; 9 nodes.

Google Drive Trigger, Google Drive, Pinecone Vector Store +3
AI & RAG
Ims - Backend

IMS - Backend. Uses postgres, vectorStoreMilvus, embeddingsCohere, documentDefaultDataLoader. Scheduled trigger; 9 nodes.

Postgres, Milvus Vector Store, Cohere Embeddings +2
AI & RAG
Update Knowledge

Update Knowledge. Uses executeWorkflowTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 9 nodes.

Execute Workflow Trigger, OpenAI Embeddings, Document Default Data Loader +3
AI & RAG
Ingest Nist Csf 2.0

01 — Ingest NIST CSF 2.0. Uses readWriteFile, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Webhook trigger; 9 nodes.

Read Write File, Supabase Vector Store, OpenAI Embeddings +3
AI & RAG
Prod: Notion to Vector Store - Dimension 768

Prod: Notion to Vector Store - Dimension 768. Uses textSplitterTokenSplitter, notionTrigger, notion, summarize. Event-driven trigger; 8 nodes.

Text Splitter Token Splitter, Notion Trigger, Notion +3
AI & RAG
Notion to Pinecone Vector Store Integration

This n8n automation is designed to extract, process, and store content from Notion pages into a Pinecone vector store. Here's a breakdown of the workflow:

Text Splitter Token Splitter, Notion Trigger, Notion +3
AI & RAG
Ngo.tools Knowledge Base Ingestion

NGO.tools Knowledge Base Ingestion. Uses postgres, vectorStorePGVector, documentDefaultDataLoader, embeddingsOpenAi. Webhook trigger; 8 nodes.

Postgres, Vector Store Pgvector, Document Default Data Loader +2
AI & RAG
RAG Faq Indexation

rag_faq_indexation. Uses vectorStorePinecone, googleDrive, documentDefaultDataLoader, embeddingsOpenAi. Event-driven trigger; 8 nodes.

Pinecone Vector Store, Google Drive, Document Default Data Loader +1
AI & RAG
Ingest Vector Store Ecommerce

Ingest Vector Store Ecommerce. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Read Write File, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
Ingest Vector Store

Ingest Vector Store. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Read Write File, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
Confluencepineconeupsert

ConfluencePineConeUpsert. Uses textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader, vectorStorePinecone. Event-driven trigger; 8 nodes.

Text Splitter Recursive Character Text Splitter, OpenAI Embeddings, Document Default Data Loader +2
AI & RAG
RAG — Ingestion

RAG — Ingestion. Uses httpRequest, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 7 nodes.

HTTP Request, Pinecone Vector Store, OpenAI Embeddings +2
AI & RAG
17 · RAG Ingest: Nạp Company Knowledge Vào Pinecone (gemini Embedding)

17 · RAG Ingest: Nạp Company Knowledge vào Pinecone (Gemini Embedding). Uses formTrigger, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigg

Form Trigger, Pinecone Vector Store, Document Default Data Loader +2
AI & RAG
My Workflow 22

My workflow 22. Uses vectorStoreQdrant, documentDefaultDataLoader, embeddingsGoogleGemini. Webhook trigger; 7 nodes.

Qdrant Vector Store, Document Default Data Loader, Google Gemini Embeddings
AI & RAG
Fpcvectorstoreingestion

FPCVectorStoreIngestion. Uses vectorStorePGVector, embeddingsOpenAi, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Event-driven trigger; 6 nodes.

Vector Store Pgvector, OpenAI Embeddings, Document Default Data Loader +1
AI & RAG
Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and Openai

Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and OpenAI. Uses chatTrigger, lmChatGoogleGemini, stickyNote, documentDefaultDataLoader. Chat trigger; 13 nodes.

Chat Trigger, Google Gemini Chat, Document Default Data Loader +5
AI & RAG
RAG Pipeline

RAG Pipeline. Uses formTrigger, vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader. Event-driven trigger; 13 nodes.

Form Trigger, Qdrant Vector Store, Ollama Embeddings +6
AI & RAG
Local Chatbot with Retrieval Augmented Generation (rag)

Click here to view the YouTube Tutorial

Form Trigger, Qdrant Vector Store, Ollama Embeddings +6
AI & RAG
Save Costs in RAG Workflows Using the Q&a Tool with Multiple Models

This template shows how to use the Question and Answer tool to save costs in RAG use cases.

Form Trigger, OpenAI Embeddings, Document Default Data Loader +5
AI & RAG
Real-time Email RAG Assistant with Gmail, Openai Gpt, and Pgvector

This workflow is ideal for: Professionals Project managers Sales and support teams Anyone managing high volumes of Gmail messages

Gmail Trigger, Gmail, Text Splitter Recursive Character Text Splitter +6
AI & RAG
Build a PDF Search System with Mistral OCR and Weaviate Db

A comprehensive RAG (Retrieval-Augmented Generation) workflow that transforms PDF documents into searchable vector embeddings using advanced AI technologies. PDF Document Processing: Upload and extrac

Cohere Embeddings, Document Default Data Loader, Reranker Cohere +5
AI & RAG
Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and Openai (chat Trigger)

> Disclaimer: this workflow template uses the community package. Community nodes are unverified and usage of them comes with some risks. See here for instructions on installing n8n community nodes.

Chat Trigger, Google Gemini Chat, Document Default Data Loader +5
AI & RAG
Create Personal Data Vector Store From Google Sheets with Openai & Gemini AI

This workflow integrates Google Sheets with Supabase Vector Store for storing personal data as vectors. It utilizes OpenAI and Google Gemini AI models for enhanced data processing and querying.

Chat Trigger, Agent, Google Gemini Chat +5
AI & RAG
Document Q&a Chatbot with Google Drive, Gpt-4-mini & Telegram (rag System)

Description 📌 Overview

Document Default Data Loader, Google Drive, OpenAI Embeddings +7
AI & RAG
Demo: RAG in N8n

Demo: RAG in n8n. Uses formTrigger, documentDefaultDataLoader, vectorStoreInMemory, agent. Event-driven trigger; 13 nodes.

Form Trigger, Document Default Data Loader, In-Memory Vector Store +5
AI & RAG
Simple Vector Db

simple_vector_db. Uses googleDriveTrigger, googleDrive, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 13 nodes.

Google Drive Trigger, Google Drive, Qdrant Vector Store +6
AI & RAG
Dermai

DermAI. Uses telegramTrigger, agent, lmChatOllama, vectorStoreInMemory. Event-driven trigger; 13 nodes.

Telegram Trigger, Agent, Ollama Chat +7
AI & RAG
RAG Pipeline & Chatbot

RAG Pipeline & Chatbot. Uses stickyNote, googleDriveTrigger, googleDrive, vectorStorePinecone. Event-driven trigger; 12 nodes.

Google Drive Trigger, Google Drive, Pinecone Vector Store +6
AI & RAG
Advanced AI Inventory Agent: Supabase Vector RAG & Gemini

Advanced AI Inventory Agent: Supabase Vector RAG & Gemini. Uses chatTrigger, agent, memoryBufferWindow, lmChatGoogleGemini. Chat trigger; 12 nodes.

Chat Trigger, Agent, Memory Buffer Window +5
AI & RAG
Rag_pipeline_to_chatbot_using_google_drive_and_pinecone

RAG_pipeline_to_chatbot_using_google_drive_and_pinecone. Uses googleDriveTrigger, googleDrive, vectorStorePinecone, documentDefaultDataLoader. Event-driven trigger; 12 nodes.

Google Drive Trigger, Google Drive, Pinecone Vector Store +7
AI & RAG
Prototype

prototype. Uses vectorStoreInMemory, documentDefaultDataLoader, embeddingsHuggingFaceInference, readWriteFile. Event-driven trigger; 12 nodes.

In-Memory Vector Store, Document Default Data Loader, Embeddings Hugging Face Inference +6
AI & RAG
Poc-rag-llm

Poc-Rag-Llm. Uses lmChatOllama, embeddingsOllama, chatTrigger, agent. Chat trigger; 12 nodes.

Ollama Chat, Ollama Embeddings, Chat Trigger +4
AI & RAG
RAG Ejemplo

Rag Ejemplo. Uses formTrigger, embeddingsOpenAi, documentDefaultDataLoader, vectorStoreInMemory. Event-driven trigger; 12 nodes.

Form Trigger, OpenAI Embeddings, Document Default Data Loader +4
AI & RAG
[lab] N8n RAG in Memory Vector

[Lab] n8n RAG in memory vector. Uses formTrigger, embeddingsOpenAi, documentDefaultDataLoader, vectorStoreInMemory. Event-driven trigger; 12 nodes.

Form Trigger, OpenAI Embeddings, Document Default Data Loader +4
AI & RAG
Knowledge Store Agent (with Google Drive)

Knowledge store agent (with Google Drive). Uses documentDefaultDataLoader, googleDrive, embeddingsOpenAi, agent. Chat trigger; 12 nodes.

Document Default Data Loader, Google Drive, OpenAI Embeddings +6
AI & RAG
RAG Agent (vector Store Qdrant)

RAG Agent. Uses vectorStoreQdrant, documentDefaultDataLoader, agent, chatTrigger. Event-driven trigger; 12 nodes.

Qdrant Vector Store, Document Default Data Loader, Agent +5
AI & RAG
RAG Starter Template Using Simple Vector Stores, Form Trigger and Openai

This template quickly shows how to use RAG in n8n.

Form Trigger, OpenAI Embeddings, Document Default Data Loader +4
AI & RAG
Implement On-prem RAG with Qdrant and Ollama for a Self-hosted Kb

Provides one workflow to maintain the knowledge base and another one to query the knowledge base. Uploaded documents are saved into the Qdrant vector store. When a query is made, the most relevant doc

Document Default Data Loader, Ollama Embeddings, Chat Trigger +5
AI & RAG
Build & Query RAG System with Google Drive, Openai Gpt-4o-mini, and Pinecone

🔍 What This Workflow Does

Google Drive Trigger, Google Drive, Pinecone Vector Store +6
AI & RAG
Build a Document-based AI Chatbot with Google Drive, Llama 3, and Qdrant RAG

Overview This template allows users to set up an AI-powered chatbot that retrieves and processes knowledge from Google Drive documents using Retrieval-Augmented Generation (RAG). By leveraging Llama 3

Google Drive Trigger, Google Drive, Ollama Embeddings +6
AI & RAG
RAG Bell Cohort3

rag-bell-cohort3. Uses agent, telegramTrigger, telegram, memoryBufferWindow. Event-driven trigger; 12 nodes.

Agent, Telegram Trigger, Telegram +5
AI & RAG
Exemplos

Exemplos. Uses vectorStorePGVector, embeddingsGoogleGemini, readWriteFile, documentDefaultDataLoader. Chat trigger; 12 nodes.

Vector Store Pgvector, Google Gemini Embeddings, Read Write File +5
AI & RAG
File Upload

File upload. Uses localFileTrigger, vectorStorePGVector, embeddingsMistralCloud, readWriteFile. Event-driven trigger; 11 nodes.

Local File Trigger, Vector Store Pgvector, Embeddings Mistral Cloud +4
AI & RAG
RAG Agent

RAG Agent. Uses vectorStoreInMemory, documentDefaultDataLoader, agent, lmChatOllama. Webhook trigger; 11 nodes.

In-Memory Vector Store, Document Default Data Loader, Agent +3
AI & RAG
Chat (read Write File)

Chat. Uses readWriteFile, vectorStoreSupabase, documentDefaultDataLoader, embeddingsOpenAi. Event-driven trigger; 10 nodes.

Read Write File, Supabase Vector Store, Document Default Data Loader +4
AI & RAG
RAG Agent Part-1 (context Injection)

RAG Agent Part-1 (Context Injection). Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 10 nodes.

Google Drive, Pinecone Vector Store, OpenAI Embeddings +2
AI & RAG
Ingest_rag

ingest_RAG. Uses googleDrive, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 9 nodes.

Google Drive, Supabase Vector Store, OpenAI Embeddings +2
AI & RAG
RAG (agent)

rag. Uses agent, chatTrigger, lmChatGoogleGemini, memoryBufferWindow. Chat trigger; 9 nodes.

Agent, Chat Trigger, Google Gemini Chat +5
AI & RAG
Build an Mcp Server Which Answers Questions with Retrieval Augmented Generation

Click here to watch the full tutorial on YouTube

Mcp Trigger, Qdrant Vector Store, Ollama Embeddings +2
AI & RAG
Data_ingestion_external_v2

Data_Ingestion_External_v2. Uses googleDrive, embeddingsOpenAi, vectorStorePinecone, documentDefaultDataLoader. Scheduled trigger; 8 nodes.

Google Drive, OpenAI Embeddings, Pinecone Vector Store +2
AI & RAG
Upload Brochures to Pinecone (manual Trigger)

Upload Brochures to Pinecone (Manual Trigger). Uses googleDrive, vectorStorePinecone, documentDefaultDataLoader, embeddingsGoogleGemini. Event-driven trigger; 8 nodes.

Google Drive, Pinecone Vector Store, Document Default Data Loader +2
AI & RAG
Upload Brochures to Qdrant (manual Trigger)

Upload Brochures to Qdrant (Manual Trigger). Uses googleDrive, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Google Drive, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
Upload Brochures to Supabase (manual Trigger)

Upload Brochures to Supabase (Manual Trigger). Uses googleDrive, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Google Drive, Supabase Vector Store, OpenAI Embeddings +2
AI & RAG
Dsaprojeto7-fluxo1

DSAProjeto7-Fluxo1. Uses vectorStoreSupabase, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 8 nodes.

Supabase Vector Store, Document Default Data Loader, OpenAI Embeddings +2
AI & RAG
D22 Knowledge Base

d22-knowledge-base. Uses rssFeedRead, vectorStoreSupabase, embeddingsGoogleGemini, documentDefaultDataLoader. Event-driven trigger; 7 nodes.

RSS Feed Read, Supabase Vector Store, Google Gemini Embeddings +2
AI & RAG
AI Workflow Knowledge Ingestion Pipeline

AI Workflow Knowledge Ingestion Pipeline. Uses vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader, googleDriveTrigger. Event-driven trigger; 7 nodes.

Pinecone Vector Store, OpenAI Embeddings, Document Default Data Loader +1
AI & RAG
Dssat RAG (embeddings Open Ai)

dssat-rag. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreQdrant. Event-driven trigger; 7 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Character Text Splitter +2
General
Manual Googledrive

Manual Googledrive. Uses manualTrigger, lmChatOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 6 nodes.

OpenAI Chat, Document Default Data Loader, Text Splitter Token Splitter +2
AI & RAG
Supabase

SupaBase. Uses manualTrigger, googleDrive, vectorStoreSupabase, documentDefaultDataLoader. Event-driven trigger; 6 nodes.

Google Drive, Supabase Vector Store, Document Default Data Loader +2
AI & RAG
Small Dick

small dick. Uses executeWorkflowTrigger, vectorStoreQdrant, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Execute Workflow Trigger, Qdrant Vector Store, Document Default Data Loader +2
AI & RAG
D27-slack-rag

d27-slack-RAG. Uses googleDrive, vectorStoreSupabase, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Google Drive, Supabase Vector Store, Document Default Data Loader +2
AI & RAG
Company Knowledgebase

Company Knowledgebase. Uses googleDrive, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 6 nodes.

Google Drive, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +2
AI & RAG
Load and Summarize Google Drive Files with AI

This workflow includes advanced features like text summarization and tokenization, it's ideal for automating document processing tasks that require parsing and summarizing text data from Google Drive.

OpenAI Chat, Document Default Data Loader, Text Splitter Token Splitter +2
AI & RAG
Pd Automacao N8n Fluxo RAG

pd_automacao_n8n_fluxo_rag. Uses googleDrive, documentDefaultDataLoader, embeddingsOpenAi, vectorStoreSupabase. Event-driven trigger; 6 nodes.

Google Drive, Document Default Data Loader, OpenAI Embeddings +2
AI & RAG
Ingesta

Ingesta. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Qdrant Vector Store, Ollama Embeddings, Document Default Data Loader +3
AI & RAG
Carga De Datos

Carga de datos. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, readWriteFile. Scheduled trigger; 6 nodes.

Qdrant Vector Store, Ollama Embeddings, Document Default Data Loader +2
AI & RAG
Embdding

embdding. Uses httpRequest, vectorStoreInMemory, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

HTTP Request, In-Memory Vector Store, Document Default Data Loader +2
AI & RAG
Reading File

Reading File. Uses googleDriveTrigger, googleDrive, vectorStorePinecone, embeddingsOpenAi. Event-driven trigger; 6 nodes.

Google Drive Trigger, Google Drive, Pinecone Vector Store +3
AI & RAG
Knowledge Ingestion

Knowledge ingestion. Uses documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 6 nodes.

Document Default Data Loader, Text Splitter Recursive Character Text Splitter, Qdrant Vector Store +2
AI & RAG
Kb

KB. Uses formTrigger, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 5 nodes.

Form Trigger, Supabase Vector Store, OpenAI Embeddings +2
AI & RAG
Vectorstore Insert

vectorstore_insert. Uses vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 5 nodes.

Pinecone Vector Store, OpenAI Embeddings, Document Default Data Loader +2
AI & RAG
Rag_qdrant

RAG_qdrant. Uses formTrigger, embeddingsOllama, vectorStoreQdrant, documentDefaultDataLoader. Event-driven trigger; 5 nodes.

Form Trigger, Ollama Embeddings, Qdrant Vector Store +2
AI & RAG
Knowledge Base Upload

Knowledge Base Upload. Uses vectorStoreQdrant, documentDefaultDataLoader, textSplitterTokenSplitter, embeddingsOpenAi. Event-driven trigger; 5 nodes.

Qdrant Vector Store, Document Default Data Loader, Text Splitter Token Splitter +2
AI & RAG
Oracle One Imersao Agentes Ia Aula01

oracle-one-imersao-agentes-ia_aula01. Uses httpRequest, vectorStoreInMemory, embeddingsCohere, documentDefaultDataLoader. Event-driven trigger; 5 nodes.

HTTP Request, In-Memory Vector Store, Cohere Embeddings +1
AI & RAG
Update Bella Vista Kb

Update Bella Vista KB. Uses formTrigger, embeddingsOpenAi, documentDefaultDataLoader, vectorStorePGVector. Event-driven trigger; 4 nodes.

Form Trigger, OpenAI Embeddings, Document Default Data Loader +1

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FAQ

How many n8n Documentdefaultdataloader workflows are in the catalog?

696 n8n workflows in AutomationFlows currently use the Documentdefaultdataloader integration — triggers, actions, or both.

How do I connect Documentdefaultdataloader in n8n?

After importing the workflow JSON, n8n will prompt for Documentdefaultdataloader credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.

Can I combine these with other integrations?

Yes — most Documentdefaultdataloader workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.