Beyond Basic Retrieval: Leveling Up RAG with HyDE and Token-Aware Context

Standard RAG systems often fail because models process tokens rather than characters, leading to silent data truncation and poor handling of vague queries. This deep dive demonstrates how implementing Token-Aware Chunking and Hypothetical Document Embeddings (HyDE) transforms a fragile prototype into a robust, context-intelligent retrieval engine.