2 articles tagged RAG.
Why pure vector embeddings fail on exact code identifiers, and how Reciprocal Rank Fusion combining BM25, dense vectors, and AST graph traversal achieves 94%+ retrieval recall.
An empirical engineering framework for choosing between RAG, LoRA fine-tuning, and in-context learning based on data velocity, hallucination tolerance, and inference cost.