Indexing organizes and stores data so an AI system can search and retrieve it quickly at query time. Documents, knowledge articles, transcripts, and other content are processed during indexing so that retrieval can be both fast and accurate.
Poor indexing means even a good retrieval system will miss relevant content or return it slowly. The quality of an index is a foundational constraint on the quality of everything built on top of it — enterprise search, RAG pipelines, and knowledge retrieval all depend on well-structured, comprehensive indexes.
