Introduction to Full-Text Search
Full-text search allows you to search for documents that contain specific words or phrases. Unlike keyword search, which looks for exact matches, full-text search involves breaking down the text into individual terms (or tokens) and processing them to enable more flexible and comprehensive search capabilities. This is where analyzers and tokenizers come into play.
Full Text Search with Analyzer and Tokenizer
Elasticsearch is renowned for its powerful full-text search capabilities. At the heart of this functionality are analyzers and tokenizers, which play a crucial role in how text is processed and indexed. This guide will help you understand how analyzers and tokenizers work in Elasticsearch, with detailed examples and outputs to make these concepts easy to grasp.