What it does
A set of n8n workflows that use a Qdrant vector database to analyse image datasets. One pipeline uploads a dataset and creates Voyage AI embeddings, another sets up the class centres and thresholds used for anomaly detection. Tools then check whether a new image is an anomaly or which class it belongs to by its nearest neighbours.
Use cases
- 01Flag images that differ from a reference set
- 02Classify new images by nearest neighbours
- 03Store image embeddings in a Qdrant cluster
Connects
HTTP Request · Google Cloud Storage · Code