AutomationFlowsRecipes › Documentdefaultdataloader → Textsplittercharactertextsplitter

Documentdefaultdataloader → Textsplittercharactertextsplitter

When you need Documentdefaultdataloader and Textsplittercharactertextsplitter talking to each other, here are the 59 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 Textsplittercharactertextsplitter

AI & RAG

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

Postgres, Crypto, Redis +13
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

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

Supabase, Perplexity, Agent +10
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

main_workflow. Uses agent, n8n-nodes-upstage, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Webhook trigger; 63 nodes.

Agent, N8N Nodes Upstage, Document Default Data Loader +4
AI & RAG

My workflow 2529. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 54 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +11
AI & RAG

05. Base_To_Copy. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 54 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +11
AI & RAG

OIL Rag. Uses lmChatOpenAi, embeddingsOpenAi, agent, telegramTrigger. Event-driven trigger; 53 nodes.

OpenAI Chat, OpenAI Embeddings, Agent +12
AI & RAG

/billing - For payment and invoice questions /tech-support - For technical assistance /return-policy - For returns and refunds Command-based routing Direct department access via slash commands Tracks

Telegram, Pinecone Vector Store, Google Drive Trigger +9
AI & RAG

Agente_RAG. Uses supabase, embeddingsOpenAi, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Chat trigger; 50 nodes.

Supabase, OpenAI Embeddings, Document Default Data Loader +9
AI & RAG

This n8n workflow automates the process of ingesting files from Google Drive into a Supabase database, preparing them for a knowledge base system. It supports text-based files (PDF, DOCX, TXT, etc.) a

Google Drive Trigger, Postgres, Supabase +11
AI & RAG

This workflow builds a WhatsApp business assistant that uses OpenAI to classify incoming messages and route them to FAQ answers via Pinecone RAG, order placement and inventory updates in Google Sheets

WhatsApp Trigger, OpenAI, Agent +12
AI & RAG

This template creates a comprehensive, production-ready Retrieval-Augmented Generation (RAG) system. It builds a sophisticated AI agent that can answer questions based on documents stored in a specifi

Reranker Cohere, Supabase Vector Store, Agent +10
AI & RAG

YT Processing UPDATED. Uses googleSheets, youTube, httpRequest, googleDrive. Event-driven trigger; 44 nodes.

Google Sheets, YouTube, HTTP Request +11
AI & RAG

Ultimate Agentic RAG AI Agent Template. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, stickyNote. Event-driven trigger; 42 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +10
AI & RAG

This n8n template demonstrates how to automate comprehensive web research using multiple AI models to find, analyze, and extract insights from authoritative sources.

HTTP Request, Execute Workflow Trigger, Output Parser Structured +7
AI & RAG

🤖📈 This workflow is my personal solution for the Agentic Arena Community Contest, where the goal is to build a Retrieval-Augmented Generation (RAG) AI agent capable of answering questions based on a p

Evaluation, Evaluation Trigger, Chat +11
AI & RAG

n8n RAG AI Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 41 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +10
AI & RAG

This template crawls a website from its sitemap, deduplicates URLs in Supabase, scrapes pages with Crawl4AI, cleans and validates the text, then stores content + metadata in a Supabase vector store us

HTTP Request, XML, Document Default Data Loader +5
AI & RAG

This workflow builds a dual-system that connects automated document ingestion with a live product catalog chatbot powered by Mistral AI and Supabase.

Google Drive, Document Default Data Loader, Text Splitter Character Text Splitter +6
AI & RAG

This workflow transforms a Google Drive folder into an intelligent, searchable knowledge base and provides a chat agent to query it. It’s composed of two distinct flows: An ingestion pipeline to proce

OpenAI Embeddings, OpenAI Chat, Tool Http Request +10

See more Documentdefaultdataloader workflows · Textsplittercharactertextsplitter workflows

FAQ

How do I trigger a Textsplittercharactertextsplitter 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 Textsplittercharactertextsplitter nodes handle the action. Open any workflow's detail page to see the exact node graph.

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