In the digital age, the ability to sift through vast amounts of text data efficiently and effectively is crucial. PostgreSQL, a robust open-source relational database, offers various search functionalities that cater to multiple needs, from simple pattern matching to linguistic search and more complex semantic search understanding. This article explores these search methods—standard search, full-text search, and semantic search—using the example of searching for articles related to "PostgreSQL & vector" to illustrate their differences, use cases, and internal workings.
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