Results (244)
Build a 100% local RAG with n8n, Ollama and Qdrant. This agent uses a semantic database (Qdrant) to answer questions about PDF files. Tutorial Click here to v...
Thomas Janssen
⋅9 days ago⋅Free
Who is this for? This template is designed for internal support teams, product specialists, and knowledge managers in technology companies who want to automate ...
NovaNode
⋅23 days ago⋅Free
Document-Aware WhatsApp AI Bot for Customer Support Google Docs-Powered WhatsApp Support Agent 24/7 WhatsApp AI Assistant with Live Knowledge from Google Docs...
Tharwat Mohamed
⋅16 days ago⋅Free
This template quickly shows how to use RAG in n8n. Who is this for? This template is for everyone who wants to start giving knowledge to their Agents through R...
n8n Team
⋅15 days ago⋅Free
Want to check out all my flows, follow me on: https://maxmitcham.substack.com/ https://www.linkedin.com/in/max-mitcham/ This automation flow is designed to ...
Max Mitcham
⋅a month ago⋅Free
This workflow automates the creation and management of a Retrieval-Augmented Generation (RAG) system using Qdrant as a vector store and Google Drive as the docu...
Davide
⋅9 days ago⋅Free
This template shows how to use the Question and Answer tool to save costs in RAG use cases. Who is this for? This template is for everyone who wants to start g...
Niklas Hatje
⋅15 days ago⋅Free
Combine Tech News in a Personalized Weekly Newsletter This n8n template automates the collection, storage, and summarization of technology news from top sites,...
Miha
⋅2 months ago⋅Free
Using the knowledge graphs instead of RAG vector stores This workflow creates a Telegram chatbot agent that has access to several knowledge bases at the same t...
InfraNodus
⋅a month ago⋅Free
This workflow is designed to process PDF documents using Mistral's OCR capabilities, store the extracted text in a Qdrant vector database, and enable Retrieval-...
Davide
⋅a month ago⋅Free
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