The Power and Pitfalls of Vector-Based Image Search

Vector-based image search converts images into numerical vectors for similarity matching in databases like Milvus. The approach excels at finding visually similar images but can return unrelated items that look alike. Vector size choices of 128, 512, or 768 dimensions balance accuracy against storage and latency costs.