@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 
Create a multi-modal Telegram support bot with GPT-4 and Supabase RAG
What It Does This n8n workflow turns your Telegram bot into a smart, multi modal AI assistant that accepts text , doc...
Process documents with recursive chunking using Google Drive, OpenAI & Gemini RAG
1. Document Ingestion & Processing Google Drive Trigger monitors for new files → Loop Over Items processes each file...
Create a private document Q&A system with Llama3, Postgres, Qdrant and Google Drive
️ How It Works: LocalRAG.AI ️ Note: This system only works for self hosted n8n instances. It will not function on n8n...
Airline web check-in data extraction with Ollama AI, Google Sheets & Postgres Vector DB
This workflow retrieves airline web check in URLs from Google Sheets, scrapes their content, employs an LLM to genera...
Automate sales cold calling pipeline with Apify, GPT-4o, and WhatsApp
This workflow contains community nodes that are only compatible with the self hosted version of n8n. Cold Calling Aut...
Build an MCP server which answers questions with retrieval augmented generation
Build an MCP Server which has access to a semantic database to perform Retrieval Augmented Generation (RAG) Tutorial...
Gmail smart auto-responder with GPT-4o and Google Drive context memory
Advanced Gmail AI Auto Responder with Context Intelligence The next generation email automation that knows your commu...
Transform books into 100+ social media posts with DeepSeek AI and Google Drive
Your Automated Content Factory: Turn Any Book into 100+ Social Media Ideas Instantly Never run out of content again b...
Local chatbot with retrieval augmented generation (RAG)
Build a 100% local RAG with n8n, Ollama and Qdrant. This agent uses a semantic database (Qdrant) to answer questions...
Build and update RAG system with Google Drive, Qdrant, and Gemini Chat
This workflow automates the creation and management of a Retrieval Augmented Generation (RAG) system using Qdrant as...
AI-powered accounting reports from Sabre EDI with GPT-4 and Pinecone RAG
This workflow automates the process of reading EDI files generated by Sabre, parsing them using an AI Agent, and prod...
AI-powered restaurant order and menu management with WhatsApp and Google Gemini
RestaurantBot Pro WhatsApp Order Automation System Description RestaurantBot Pro is a complete AI powered restaurant...
Convert tour PDFs to vector database using Google Drive, LangChain & OpenAI
Workflow: Process Tour PDF from Google Drive to Pinecone Vector DB with OpenAI Embeddings Overview This workflow auto...
Basic RAG chat
This workflow demonstrates a simple Retrieval Augmented Generation (RAG) pipeline in n8n, split into two main section...
Build custom workflows automatically with GPT-4o, RAG, and web search
What the “Agent Builder” template does Need to turn a one line chat request into a fully wired n8n workflow template—...
Build a RAG system with automatic citations using Qdrant, Gemini & OpenAI
This workflow implements a Retrieval Augmented Generation (RAG) system that: Stores vectorized documents in Qdrant ,...
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. Who is this for? This tem...
RAG Starter Template using Simple Vector Stores, Form trigger and OpenAI
This template quickly shows how to use RAG in n8n. Who is this for? This template is for everyone who wants to start...
Document-based chatbot with memory using OpenAI, Pinecone and Google Drive
Who is This For? This is for normal people or people just starting off and wanting to have a AI chatbot that can proc...
WhatsApp group chat with your vector database — no Facebook Business required
Enable smart, real time answers in your WhatsApp groups using a custom webhook, Pinecone vector database, and no Face...
AI-powered WhatsApp chatbot for text, voice, images, and PDF with RAG
Who is this for? This template is designed for internal support teams, product specialists, and knowledge managers in...
Telegram AI chatbot with document-based answers using OpenAI and PGVector RAG
AI Q&A Chatbot Workflow – Build Your Own AI Agent Trained on Private Documents This powerful AI automation add on upg...
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 Googl...
Ai email auto-responder system- AI RAG agent for email inbox
AI Email Auto Responder – Smart Client Reply Automation with RAG This workflow is built for individuals, teams, and b...
