@n8n/n8n-nodes-langchain.documentdefaultdataloader
342 workflows using this node.
What is the @n8n/n8n-nodes-langchain.documentdefaultdataloader node used for in n8n workflows?
@n8n/n8n-nodes-langchain.documentdefaultdataloader n8n workflows are automation templates that use the @n8n/n8n-nodes-langchain.documentdefaultdataloader node as part of a reusable workflow. Builders use these templates to inspect how the node connects with triggers, data transformation steps, app integrations, notifications, storage, or AI-powered actions inside n8n. Each workflow listing includes a title, summary, author attribution, categories, complexity level, source links when available, and a downloadable JSON file for review before import. Use this page to compare practical examples, understand the surrounding nodes, and choose a template that can be safely tested and adapted in your own n8n workspace.
n8n-n8n-nodes-langchain-documentdefaultdataloader 
Route RAG customer support across WhatsApp and Outlook with Pinecone and OpenRouter
Quick overview A production ready 3 workflow system that handles customer support across WhatsApp and Email using RAG...
Detect semantic duplicate website pages with Google Drive, Postgres and Ollama
Quick overview This workflow scans HTML files in a Google Drive folder, extracts and stores page text in Postgres, ge...
Ingest and search Cloudflare R2 media with Gemini, Groq Whisper, and Supabase
Quick overview This workflow ingests images, PDFs, and videos from a Cloudflare R2 folder, uses Google Gemini to view...
Generate incident response reports with Supabase, Gemini and Claude
Quick Overview This workflow ingests incident and playbook content from GitHub into Supabase (including pgvector embe...
Power Placetel voice answers from OneDrive docs with OpenAI and Groq
Quick Overview This workflow indexes text files from Microsoft OneDrive into a Supabase vector store using OpenAI emb...
Build a Placetel RAG voice assistant with Google Drive, Supabase and Groq
Quick Overview This workflow indexes text files from Google Drive into a Supabase vector store using OpenAI embedding...
Sync website FAQs to Pinecone weekly with GPT-4o and OpenAI embeddings
Quick overview This workflow runs weekly and crawls your website sitemap, scrapes each page, generates page specific...
Answer support questions from a knowledge base with OpenAI GPT-4o-mini
Quick Overview This workflow powers a support chat experience that uses an OpenAI RAG agent with in memory vector sea...
Build a RAG knowledge base from PDFs with Gemini, Supabase and Google Sheets
Quick Overview This workflow ingests educational PDF URLs from Google Sheets, extracts and chunks their text, generat...
Build a cost engineering RAG with Google Drive, OpenAI, and Pinecone
Quick Overview This workflow ingests PDF cost engineering manuals from Google Drive into a Pinecone vector index usin...
Create WordPress articles in author style with Gemini, Telegram and Pinecone
Quick Overview This workflow ingests your WordPress site content into Google Sheets and Pinecone, analyzes each autho...
Handle WhatsApp orders, FAQs, and tracking with GPT-4o, Pinecone, and Sheets
Quick overview This workflow builds a WhatsApp business assistant that uses OpenAI to classify incoming messages and...
Answer voice queries from a webhook over Google Drive docs using GPT-4o-mini and Supabase
Quick overview Placetel AI – RAG Voice Assistant with Google Drive & Supabase How it works 1. Runs on a daily schedul...
Build hybrid RAG search over PDFs with Qdrant and Ollama
Quick overview This workflow ingests a local PDF into Qdrant with Ollama embeddings, then supports hybrid retrieval b...
Provide ecommerce support with Qdrant RAG, WooCommerce, and human backup
This workflow is a complete AI powered customer support automation for WooCommerce e commerce websites . It combines...
Chat with your business knowledge base using Google Gemini and Qdrant
This comprehensive Retrieval Augmented Generation (RAG) system enables businesses to effectively manage and query the...
Build a RAG document chatbot with Supabase vector search and OpenRouter
What this workflow does This workflow builds a Retrieval Augmented Generation (RAG) document chat assistant inside n8...
Build a RAG chatbot using Google Gemini and a Supabase vector store
AI Chatbot with RAG: Google Gemini & Supabase Vector Store Summary Build a custom, intelligent knowledge base in minu...
Create an AI knowledge base assistant using Ollama, PGVector and Telegram
This workflow automatically converts uploaded documents and text into an AI powered searchable knowledge base using s...
Create a travel support RAG chatbot with Google Drive, Pinecone and OpenAI
Description This workflow helps travel, booking, and customer support businesses create an AI chatbot that answers cu...
Handle e-commerce WhatsApp support with Whapi, WooCommerce, RAG and Gmail escalation
This workflow is a complete AI powered customer support automation for e commerce businesses. The system allows custo...
Detect multi-modal plagiarism with OpenAI GPT-4, Whisper, and vector search
How It Works This workflow automates academic and professional plagiarism detection by processing multi modal submiss...
Provide academic OCR and RAG answers on Telegram with Gemini, GPT-4 mini and Supabase
️ How It Works: System Architecture Workflow ini bekerja melalui empat lapisan proses utama yang terintegrasi secara...
Generate multi-agent research reports with Tavily, Groq, Notion and Supabase
How it works A manual trigger sets the research topic and generates three parallel Tavily web search queries A Summar...
