Vector Databases Are Not Magic, Here's What's Actually Happening Under the Hood (opens in new tab)

You've seen the tutorials. Spin up Pinecone, call .upsert(), do a similarity search, ship it. Everyone claps. The demo works. Then you take it to production and it starts lying to you. Results that look semantically relevant but aren't. Queries that should match something and return nothing. Latency that makes your users think the app crashed. And the worst part - you don't know why, because the vector database feels like a black box with a fancy API. This article is about opening that box. W...