What is retrieval latency optimization in large-scale RAG systems?

It reduces retrieval time using indexing, caching, and approximate nearest neighbor search.

RAG systems must retrieve relevant documents quickly. Optimization includes ANN indexing (HNSW, IVF), query caching, embedding quantization, and distributed vector stores. Latency directly impacts LLM response time.