Couchbase v6.5 introduces the integration of Full-Text Search (FTS) with the N1QL query construct, enabling developers to leverage FTS indexes directly within N1QL queries, combining exact predicate matching with powerful search capabilities. This integration addresses common query performance challenges faced by application developers by allowing both the Query and Index services to be scaled independently, resulting in enhanced performance. Couchbase's adaptive indexing and FTS offer solutions for handling unpredictable query predicates and non-exact search patterns, such as wildcard matching and searching within child object arrays, which are limitations in traditional relational databases. The integration allows for efficient retrieval of complex query patterns, such as those encountered in customer activity management scenarios, where queries may involve multiple fields, arrays, and require rapid response times. The use of FTS indexes in N1QL queries provides a flexible and efficient approach to query performance optimization, particularly suited for cases involving multiple fields and arrays.