New Ways to Deliver Excellent Search Experiences With Atlas Search` announces several new features in MongoDB Atlas Search designed to help build relevance-based search directly into applications. These include facets on sharded collections, embedded documents in arrays, and cross-collection searches using `$lookup` and `$union`. Additionally, `Facets on Sharded Collections` now work on sharded collections, enabling larger workloads to scale. Faster aggregations with stored source fields also provide better performance for search queries. New metrics are available to help analyze the impact of search on database deployments, while a new role, Project Search Index Editor, allows users to configure Atlas Search indexes without accessing underlying data or performing other project-level changes.