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

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

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

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

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

Elasticsearch uses distributed architecture to search data quickly across multiple servers.

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

Elasticsearch documents aren't searchable immediately due to the indexing process.

Elasticsearch uses shards for data distribution and replicas for redundancy.

A document in Elasticsearch isn't searchable right after it's saved due to the refresh process.