註冊並分享邀請連結,可獲得影片播放與邀請獎勵。

Elastic
@elastic
Where developers learn, build, and share. Your source for hands-on demos, cheat sheets, explainers and more.
加入 October 2009
183 正在關注    65.7K 粉絲
Run the same vector search benchmark across 3 engines. Jingra is a new open-source framework that uses YAML config to run identical workloads on Elasticsearch, OpenSearch, and Qdrant. The part that matters: with await_index_ready enabled, it holds evaluation until the index reaches the state you intend to measure. Elasticsearch merges segments after ingest. Qdrant runs its own post-ingest optimizations. Both affect query latency, and most benchmarks measure before either finishes. Parameter sweeps generate recall vs latency curves in a single run. Results go to console, CSV, or an Elasticsearch index for dashboarding. Apache 2.0, Docker Compose demos, one make command.
顯示更多