Content by himachauhan (1)

himachauhan explains why RAG systems that work well at 1,000 documents often degrade at hundreds of thousands or millions, and outlines practical architecture shifts—like semantic chunking, hierarchical indexing, hybrid retrieval, and precomputed embeddings—to keep retrieval quality, latency, and cost predictable at scale.