@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 
Personal shopper chatbot for WooCommerce with RAG using Google Drive and openAI
This workflow combines OpenAI , Retrieval Augmented Generation (RAG) , and WooCommerce to create an intelligent perso...
RAG chatbot for company documents using Google Drive and Gemini
This workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on comp...
HR & IT helpdesk chatbot with audio transcription
An intelligent chatbot that assists employees by answering common HR or IT questions, supporting both text and audio...
AI-powered RAG workflow for stock earnings report analysis
This n8n workflow creates a financial analysis tool that generates reports on a company's quarterly earnings using th...
Chat with GitHub API documentation: RAG-powered chatbot with Pinecone & OpenAI
This workflow demonstrates a Retrieval Augmented Generation (RAG) chatbot that lets you chat with the GitHub API Spec...
Api schema extractor
This workflow automates the process of discovering and extracting APIs from various services, followed by generating...
AI agent to chat with files in Supabase Storage
Video Guide I prepared a detailed guide explaining how to set up and implement this scenario, enabling you to chat wi...
Upsert huge documents in a vector store with Supabase and Notion
Purpose This workflow adds the capability to build a RAG on living data. In this case Notion is used as a Knowledge B...
WordPress - AI chatbot to enhance user experience - with Supabase and OpenAI
This is the first version of a template for a RAG/GenAI App using WordPress content . As creating, sharing, and impro...
Building your first WhatsApp chatbot
This n8n template builds a simple WhatsApp chabot acting as a Sales Agent. The Agent is backed by a product catalog v...
Scale deal flow with a Pitch Deck AI vision, chatbot and QDrant vector store
Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of...
Building RAG chatbot for movie recommendations with Qdrant and Open AI
Create a recommendation tool without hallucinations based on RAG with the Qdrant Vector database. This example is bas...
Supabase insertion & upsertion & retrieval
This is a demo workflow to showcase how to use Supabase to embed a document, retrieve information from the vector sto...
Telegram chat with PDF
What this template does This template serves as a Chatbot that enables you to ask questions about the content of a PD...
Community insights using Qdrant, Python and Information Extractor
This n8n template is one of a 3 part series exploring use cases for clustering vector embeddings: Survey Insights Cus...
Customer insights with Qdrant, Python and information extractor
This n8n template is one of a 3 part series exploring use cases for clustering vector embeddings: Survey Insights Cus...
Survey insights with Qdrant, Python and Information Extractor
This n8n template is one of a 3 part series exploring use cases for clustering vector embeddings: Survey Insights Cus...
Advanced AI demo (presented at AI Developers #14 meetup)
This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. AI workflows 1. Categorize...
Generating image embeddings via textual summarisation
This n8n template demonstrates an approach to image embeddings for purpose of building a quick image contextual searc...
Build a tax code assistant with Qdrant, Mistral.ai and OpenAI
This n8n workflows builds another example of creating a knowledgebase assistant but demonstrates how a more deliberat...
Breakdown documents into study notes using templating MistralAI and Qdrant
This n8n workflow takes in a document such as a research paper, marketing or sales deck or company filings, and break...
Build a financial documents assistant using Qdrant and Mistral.ai
This n8n workflow demonstrates how to manage your Qdrant vector store when there is a need to keep it in sync with lo...
Recipe recommendations with Qdrant and Mistral
This n8n workflow demonstrates creating a recipe recommendation chatbot using the Qdrant vector store recommendation...
Store Notion's Pages as Vector Documents into Supabase with OpenAI
Workflow updated on 17/06/2024: Added 'Summarize' node to avoid creating a row for each Notion content block in the S...