QAVR - Q-Value Augmented Vector Retrieval Memory system that learns which information is most useful over time. Concept Standard vector retrieval returns results by semantic similarity alone. QAVR adds learned utility scoring based on actual usage outcomes: Where: - Semantic Similarity : How relevant the memory is to the query - Q-Value : Learned utility score (0.0 - 1.0) based on past usefulness - α : Blending factor (increases as more data collected) How It Works Cold Context (< 100 interactions) - Pure semantic similarity (α = 0) - Q-values being collected but not used - Learning phase War…