Suppose you want to build a predictive text engine. Given a few letters, you want to predict the end of a word. Suppose we have the string

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The trie is a deeply nested tree data structure commonly used for predictive text engines. It allows efficient search and recommendation of words based on word probabilities.

My favourite data structure: The trie

<p>I am curious about one thing. While the implementation is simple, and the writer did a great job of explaining it, I am not sure how trie is implemented in a production environment? Can someone help me understand? Do we load it in memory at initiation? Are there any instances where the trie was too big for the memory capacity?</p>
