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…
Essays on agentic AI and distributed systems, and the architecture that keeps them working under pressure.
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…
Why dense search becomes a routing, sharding, and distributed-systems problem Vector search looks simple when everything fits on one machine. It becomes a different…
(Where Dense Search Becomes a Distributed Systems Problem) Most content about vector databases focuses on the glamorous part: fast queries, clever indexing, tight cosine…
The Hidden Failure Modes of Dense Vector Search, ANN Indexes, and RAG Infrastructure Most engineering teams learn this the hard way: vector databases don’t…
Most AI failures don’t happen inside the model. They happen one layer earlier — in retrieval. If your RAG system, copilot, or agentic workflow…
"Prompt engineering" is the wrong mental model for where agents are going. It made sense when the product was a chat box. It breaks…
In late April 2025, OpenAI shipped an update to GPT-4o and within days had to pull it back. The model had become a flatterer.…
The dashboard is all green. Every health check is passing, every instance reports ready, the deploy went clean. And the system is down. Orders…
Introduction: navigating the digital revolution with Akka at the edge capabilities In the ever-evolving digital technology landscape, a significant shift is taking place, with…
For most of my career, memory was something I delegated. On the JVM you allocate freely and let the garbage collector clean up behind…