Worked on the spring-projects/spring-ai repository to enhance the robustness of the CouchbaseSearchVectorStore.Builder by introducing comprehensive validation logic. This upgrade ensured that collection, scope, bucket, and vector index names are non-null, non-empty, and contain only textual content, while also enforcing that vector dimensions are positive. The changes addressed incorrect assertions in the builder, aligning validation with intended configuration requirements and closing a tracked issue. Utilizing Java and the Spring Framework, the developer focused on backend development practices that reduce misconfiguration risk, improve runtime reliability, and streamline the developer experience for users integrating Couchbase-backed vector stores.