This blog post provides a detailed overview of data cleaning techniques used in Retrieval-Augmented Generation (RAG) search and response systems. The author discusses the importance of sanitizing user queries, intent classification, search and retrieval mechanisms, reranking, citation validation, and maintaining reliability in a search pipeline. Through a series of well-defined processes, the post highlights how to improve search accuracy and user trust within the context of search engines indexed by vector databases.