PostgreSQL offers a diverse range of text search tools including iLIKE, full-text search with tsquery and tsvector, trigram search, and vector embeddings, each with its own strengths and suitable use cases. iLIKE, although often seen as outdated, remains a straightforward and efficient option for case-insensitive exact matches. Full-text search based on tsvector and tsquery is more sophisticated, supporting language processing and boolean operators, making it ideal for structured text retrieval. Trigram search is particularly useful for similarity matching and handling misspellings by comparing character sequences, while vector search represents a monumental shift towards semantic search, using vector embeddings to understand the intent or meaning of text. This approach can provide nuanced insights and is particularly powerful for complex queries, though it requires external tools for generating embeddings. Ultimately, the choice of search method depends on specific needs and user behavior, and hybrid approaches or even dedicated solutions like Aiven for Opensearch may be considered for optimal performance.