The article discusses the development of a content-based image retrieval (CBIR) benchmark using the TotalSegmentator dataset, focusing on efficient image indexing and retrieval techniques. It highlights the use of Facebook AI Similarity Search (FAISS) for fast similarity searches and compares different indexing methods, ultimately selecting HNSW for its speed and efficiency. The study emphasizes the importance of metadata-independent search in large image databases.