The text discusses various methods to query data using Couchbase, highlighting that key-based lookups are faster than queries using indexes. It explores the scenario of retrieving multiple documents using their keys, suggesting that while looping through keys for lookup operations is possible, it is inefficient due to multiple network requests. Instead, it recommends using a bulk operation, exemplified through a Golang application. This application demonstrates establishing a connection to a Couchbase cluster, opening a bucket, and executing bulk operations to retrieve documents, storing results in a slice of operations. The process involves checking for execution errors and determining if keys are found by comparing values against an empty object. The text also references additional resources for performance considerations and batching operations documentation.