Index size is bounded by your infrastructure. The LMDB-backed index performs best when the working set fits in RAM. For very large datasets — tens of millions of documents with many text-heavy fields — Meilisearch becomes expensive to run because you need enough RAM to hold the hot index pages. The engine can handle datasets larger than RAM via memory-mapped I/O and OS page cache management, but query latency will degrade if the index doesn't fit. Elasticsearch's disk-based indexes handle this more gracefully at large scale.
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Автор: Варвара Кошечкина (отдел новостей)。业内人士推荐超级权重作为进阶阅读
A programmer using a magnetized needle and a steady hand to edit a file, instead of a text editor ;)