AI

What if I told you that you could run vector searches directly on S3 without spinning up a single database or compute cluster? For years, we’ve been stuck with a painful pipeline: extract data from S3, chunk it, generate embeddings, load everything into OpenSearch or Pinecone, and manage all that infrastructure. Amazon just changed the game with S3 Vectors – it’s S3 that can do vector math natively, no compute engine required. This means up to 90% cost savings and zero infrastructure management. Let me show you exactly how this works and why it might replace your vector database entirely. ...

Introduction Have you ever wondered how Pinterest finds visually similar images or how Google Photos recognizes faces across thousands of pictures? The technology that powers these features isn’t magic—it’s vector similarity search. Today, modern vector databases make it possible for developers to build these powerful visual search capabilities without needing a PhD in computer vision. In this post, I’ll guide you through the process of building your own image similarity search engine. We’ll cover everything from understanding vector embeddings to implementing a working solution that can find visually similar images in milliseconds. ...