@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 
Conversational sales agent for WooCommerce with GPT-4, Stripe and CRM integration
What this workflow does This workflow transforms your n8n instance into a fully automated AI sales assistant for WooC...
Smarter RAG agents with enriched retrieval and modular workflows
An extendable RAG template to build powerful, explainable AI assistants — with query understanding, semantic metadata...
Chat with Google Drive documents using GPT, Pinecone, and RAG
Automatically sync files from Google Drive into a searchable AI knowledge base with Pinecone, and answer user queries...
Website content chatbot with Pinecone, Airtable & OpenAI for RAG applications
This n8n workflow shows how to extract website content, index it in Pinecone, and leverage Airtable to power a chat a...
Process documents & build semantic search with OpenAI, Gemini & Qdrant
This n8n workflow automates the process of ingesting documents from multiple sources (Google Drive and web forms) int...
Automate business partner outreach with Google Maps, GPT-4 & WhatsApp
Automate Outreach Prospect automates finding, enriching, and messaging potential partners (like restaurants, malls, a...
Hr policy retrieval using Slack, S3, and GPT-4.1-mini with RAG
HR Chatbot with RAG: Retrieve Company Policies via Slack, Amazon S3, and OpenAI Overview Answer HR and company policy...
Answer code of conduct questions in Slack with GPT-4 & RAG technology
Code of Conduct Q&A Slack Chatbot with RAG Powered [ ](https://www.y...
Build a PDF Q&A system with LlamaIndex, OpenAI embeddings & Pinecone vector DB
Parse, Normalize, Extract, and Store PDF Content for RAG in Pinecone This workflow automates a full RAG pipeline for...
PDF proposal knowledge base with S3, OpenAI GPT-4o & Qdrant RAG agent
This template has a two part setup: 1. Ingest PDF files from S3, extract text, chunk, embed with OpenAI embeddings, a...
Build a WhatsApp assistant with memory, Google Suite & multi-AI research and imaging
The " WhatsApp Productivity Assistant with Memory and AI Imaging " is a comprehensive n8n workflow that transforms yo...
Automated document compliance validation with AI and vector database
Description This workflow automates compliance validation between a policy/procedure and a corresponding uploaded doc...
Build a self-updating RAG system with OpenAI, Google Gemini, Qdrant and Google Drive
This workflow implements a Retrieval Augmented Generation (RAG) system that integrates Google Drive and Qdrant . This...
Create a company policy chatbot with RAG, Pinecone vector database, and OpenAI
A RAG Chatbot with n8n and Pinecone Vector Database Retrieval Augmented Generation (RAG) allows Large Language Models...
Customer support chatbot with RAG using OpenAI and Pinecone
Simple RAG Customer Support Chatbot Overview This intelligent customer support chatbot leverages Retrieval Augmented...
Ai voice & text note-taking with LINE Messaging, Supabase Vector DB & Gmail
Overview This workflow lets you capture, store, and retrieve notes from LINE chats — both text and voice messages — a...
Generate business requirement documents with Multi-agent GPT & Google Workspace
Multi agent RAG system for smarter BRD (Business Requirement Document) writing Who’s it for This workflow is designed...
Optimize unstructured data for RAG with Blockify IdeaBlocks technology
This workflow contains community nodes that are only compatible with the self hosted version of n8n. Blockify Data Op...
Extract context from voice notes with OpenRouter AI & Milvus for RAG systems
Voice Note Context Extraction Pipeline with AI Agent & Vector Storage This n8n template demonstrates how to automatic...
IPL cricket rules Q&A chat bot using RAG and Google Gemini API
This workflow has 2 Broad Steps Step 1 Vector store creation with set of ipl rules using Google Gemini Embedding. Thi...
AI-powered WhatsApp support bot with ticket creation for Google Sheets
This n8n workflow automates the entire process, from learning based on your website data, documents to a multi channe...
Build a PDF search system with Mistral OCR and Weaviate DB
Build a PDF to Vector RAG System: Mistral OCR, Weaviate Database and MCP Server A comprehensive RAG (Retrieval Augmen...
Chat with documents via RAG: Google Drive to GPT-5 with Supabase vector database
n8n RAG Ingestion & Query Workflow Overview This workflow is your all in one pipeline to turn any document into a pow...
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 O...