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Elasticsearch's function_score combines text relevance with business signals for better rankings.

Elasticsearch rescoring improves search result rankings using a two-stage process.

Filters check conditions without affecting relevance, while queries do.

Elasticsearch Hybrid Search combines keyword and semantic searches for better results.

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

Elasticsearch uses analyzers and synonyms to improve search accuracy by connecting similar words.

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

Elasticsearch uses semantic search to find relevant documents based on meaning, not just keywords.