Query-Adaptive Semantic Chunking for Retrieval-Augmented Generation: A Dynamic Strategy with Contextual Window Expansion

This paper introduces Query-Adaptive Semantic Chunking (QASC), a dynamic strategy for Retrieval-Augmented Generation (RAG) systems that integrates user queries into document segmentation. QASC employs cosine similarity scoring, contextual window expansion, and chunk-level score aggregation to optimize context retrieval, addressing limitations of fixed chunking methods.