Autocomplete, or word completion, is a feature that predicts the remainder of a word as a user types, enhancing the search experience by minimizing the number of characters needed to obtain results. This concept can be implemented using Couchbase Full Text Search (FTS) through two main approaches: the Edge NGram approach and the Prefix-based approach. The Edge NGram method involves creating an FTS index using edge-ngram token filters, which tokenize text into sub-tokens to provide potential completions as users type. The Prefix-based approach uses a keyword analyzer to store field values as single tokens and relies on prefix queries to match text that begins with the user's input. Both methods aim to improve user navigation by providing relevant suggestions in real time, although the Prefix-based approach limits matches to the beginning of field values.