Publication
Vector Embeddings
Artificial Intelligence
Machine Learning
The Complete Guide to Vector Embeddings
Building Semantic Search, RAG, Recommendation Systems, and Modern AI Applications
8 min
ReadWriting about engineering, design systems, and lessons learned building products.
2 articles
Building Semantic Search, RAG, Recommendation Systems, and Modern AI Applications
The new HTTP QUERY method finally fills the gap between GET and POST by allowing request bodies for safe, read-only operations. Instead of cramming complex filters into long URLs or misusing POST for searches, QUERY lets developers send structured JSON while preserving the semantics of data retrieval. As support across frameworks and tooling grows, it offers a cleaner, more expressive way to build modern search, analytics, and AI-powered APIs.