Silent Drift: Why Re-Embedding Only on Count Changes Rots Your Semantic Index
My index reported 354 points. The collection had 451. Both numbers were "correct," and that gap is the whole problem. Here's the setup. I have a wiki …
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How Vector Search Actually Works: IVF and HNSW
Every system that does "semantic" anything — RAG pipelines, recommendation engines, image search, dedup — boils down to one operation: given this vect…
ParadeDB NPM Package Seeks Feedback on Simplifying Postgres Integration with JavaScript via Drizzle ORM
Introduction: Bridging the Gap Between Postgres and JavaScript with ParadeDB The ParadeDB NPM package emerges as a targeted solution to a growing pain…
Vector Search at Scale: Why Your Index Isn't as Healthy as You Think
Vector search has become load-bearing infrastructure in modern AI systems remarkably fast. A year or two ago, it was primarily a research curiosity an…