(Where Dense Search Becomes a Distributed Systems Problem) Most content about vector databases focuses on the glamorous part: fast queries, clever indexing, tight cosine similarity loops. But if you operate these systems in production, you learn something uncomfortable: Your system’s correctness, performance, and scalability are defined far more by the write path than by the […]

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 fail like relational systems or search indexes. They fail in quiet, geometric, and catastrophic ways that often go unnoticed until correctness, latency, or agent performance collapses. Dense vector search systems built […]