The Hidden Architecture Behind Dense Vector Search (and Why It’s Hard to Scale) Most people think dense vector search works like this: embed your documents store the vectors run cosine similarity Done. This is the biggest misunderstanding in... AI Infrastructure 27/11/2025
The Hidden Complexity Behind Scaling Dense Vector Search A systems-level explanation for engineers, architects, and anyone building RAG, search, or agent infrastructure. Dense retrieval looks clean on paper. You take an embedding model,... AI Infrastructure 26/11/2025
Hybrid Retrieval: The Architectural Backbone Behind Reliable AI Systems Most AI failures don’t happen inside the model. They happen one layer earlier — in retrieval. If your RAG system, copilot, or agentic workflow is... AI Infrastructure 22/11/2025
