In recent years, the significance of efficient search functionality in applications has become increasingly recognized, primarily due to its potential to boost sales and enhance user engagement. The blog series in question aims to guide readers from a basic understanding to a professional level in implementing search features. The text criticizes the conventional use of the "Like %" SQL query for being inefficient in terms of speed and relevance, as it fails to utilize indexing effectively and does not prioritize search results logically. Full-Text Search (FTS) is presented as a superior alternative, offering enhanced speed and relevance through the creation of inverted indexes and boosting to assign weight to field matches. However, the adoption of FTS can be complex, requiring new infrastructure and dependencies, which deters some developers. The text suggests using specialized FTS engines like Bleve integrated into Couchbase for significant data volumes, as they offer more advanced query capabilities compared to traditional SQL-based systems.