When querying natural language data, traditional database query methods can become inefficient and ineffective. Couchbase Full Text Search (FTS) offers a solution by automatically including relevant variations of search terms and using results scoring to return accurate results. This technology is particularly useful for organizations with large amounts of unstructured data, allowing users to find the most relevant information quickly and easily. By utilizing FTS in conjunction with Node.js, developers can create more efficient and effective natural language queries, making it easier for users to access the information they need.