Apache Lucene is combining two optimizations for evaluating disjunctive queries, bringing significant speedups to top-k queries, especially with many terms and/or high-frequency terms.

Elasticsearch 8.9 introduces optimizations to cardinality aggregations by filtering out documents whose value has already been collected.

There are different ways to implement a vector database, which have different trade-offs. In this blog, you'll learn more about how vector search has been integrated into Elastisearch and the trade-offs that we made.

Data ingestion involves a lot of things that usually take a non-negligible amount of time. Fortunately, we've got improvements in 8.6, 8.7, and 8.8, which enabled some good speedups for end-to-end ingestion.

Elasticsearch 7.7 wird deutlich weniger Heap-Speicher als vorherige Versionen verbrauchen, was das Elasticsearch-Cluster stabiler macht und die Kosten für das Speichern großer Datenmengen senkt.

Mit Elasticsearch 7.0 gelten typisierte APIs als veraltet. Stattdessen wurden neue typenlose APIs eingeführt und das Mapping „_default_“ wird nicht mehr