Vector Database as a Big Data Analysis Tool for AI Agents [3/3 - anomaly]

Vector Database as a Big Data Analysis Tool for AI Agents Workflows from the webinar "Build production-ready AI Agents with Qdrant and n8n". This series of workflows shows how to build big data analysis tools for production-ready AI agents with the help of vector databases. These pipelines are adaptable to any dataset of images, hence, many production use cases. Uploading (image) datasets to Qdrant Set up meta-variables for anomaly detection in Qdrant Anomaly detection tool KNN classifier tool For anomaly detection The first pipeline to upload an image dataset to Qdrant. The second pipeline is to set up cluster (class) centres & cluster (class) threshold scores needed for anomaly detection.

Help me set up the n8n workflow "Vector Database as a Big Data Analysis Tool for AI Agents [3/3 - anomaly]" (https://n8n.io/workflows/2656). It uses: HTTP Request, Code. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.