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An inverted index helps search engines quickly find documents containing specific terms.

Search engines collect, index, retrieve, and rank documents to provide relevant results.

Elasticsearch offers three main autocomplete strategies, each with unique benefits and trade-offs.

Choose Elasticsearch for complex text searches, but use databases for structured queries.

Optimizing Elasticsearch involves using filters, caching, and measuring performance.

Elasticsearch fuzzy search allows finding results even with typos in queries.

Deep pagination in Elasticsearch can slow down searches significantly, but there are efficient methods to handle it.

Elasticsearch distributes search queries across shards to find and retrieve results quickly.

Tokenization and analyzers help search engines process and match text effectively.

Caching helps applications respond faster by serving data from memory instead of hitting the database.