Batch Upload Image Datasets to Qdrant for AI Analysis

This workflow is part of a series designed to facilitate big data analysis for AI agents using vector databases. It specifically handles the batch processing of image datasets, creating embeddings with the Voyage AI API, and storing these in Qdrant. The workflow checks for existing collections in Qdrant, creates new ones if necessary, and indexes the data for efficient retrieval. This setup is adaptable to various datasets and can be used for both anomaly detection and KNN classification tasks.