Your LLM Is Only as Good as What It Retrieves

This article explains how retrieval quality directly impacts large language model performance in retrieval-augmented generation (RAG) systems, emphasizing that even advanced LLMs cannot produce better outputs than the source documents they retrieve. The piece likely covers best practices for improving retrieval mechanisms, ranking algorithms, and strategies for ensuring relevant and accurate information is fed to LLMs to enhance overall system quality.

Source: Weaviate | 2026-05-06