PSG give Chelsea mountain to climb after another keeper calamity

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It is not a general-purpose search engine. Meilisearch has no full SQL-like query capabilities, no aggregations beyond facet counts, no custom scoring functions that operate on arbitrary field expressions, and no machine learning relevance pipeline. If you need to rank results by a complex formula involving multiple numeric fields — say, a product score that weights together ratings, recency, and conversion rate — you're going to fight the engine. Elasticsearch's function score queries or OpenSearch's Learning to Rank plugin have no equivalent here.

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