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…
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How We Vectorize 33.7M Ukrainian Court Decisions via Voyage AI
EDRSR — the Unified State Register of Court Decisions — is effectively all of Ukraine's judicial practice in open access. Today Qdrant holds **44M+ ve…
A FalkorDB Vector Search Gotcha: Why Won't db.idx.vector.queryNodes Work?
When using FalkorDB (a Redis-protocol-compatible graph database) for GraphRAG or semantic search, we often want to tap into its built-in native vector…
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…