Resource-Efficient Semantic Retrieval Optimization for Retrieval-Augmented Generation Using FAISS, Milvus, HNSW, and Product Quantization
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge, but its performance depends heavily on efficient semantic vector search. This paper presents a deployment-oriented empirical study that systematically compares established backends and ANN configurations under...