Augmented search queries are generated either by the user or the search engine by incorporating additional information, typically derived from entity references within the original query. This concept is fundamental to search systems moving toward an entity-centric understanding rather than traditional keyword-based search. The search engine leverages the Knowledge Graph to identify attributes related to potential entities mentioned in a query, which are then used to generate expanded search queries. This process ensures users receive a richer and more detailed set of information. Augmentations can be user-generated (analyzing click behavior and implicit signals like CTRs and long clicks) or synthetic (machine-generated from structured document data). Systems enhance queries by adding attributes related to identified entities (e.g., adding “age” or “biography” for a person), leading to more refined results, especially for terms with multiple meanings.