Rapid Prototyping RAG Agents with n8n & Qdrant
Автор: Qdrant Vector Search
Загружено: 2025-06-23
Просмотров: 2471
In this talk, Jim Le from n8n walks through how to rapidly prototype Retrieval-Augmented Generation (RAG) workflows using n8n and Qdrant.
What you'll learn:
-A quick technical overview of n8n: what it is, where it runs, and how it works
-How to build a simple RAG agent in n8n using Qdrant as the vector store (via the Qdrant node)
-Real-world examples of the Qdrant community node in action
-Perfect for developers looking to build fast, flexible AI-powered workflows without heavy infrastructure.
Qdrant n8n community node repo: https://github.com/qdrant/n8n-nodes-q...
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