가입 후 초대 링크를 공유하면 동영상 재생 및 초대 보상을 받을 수 있습니다.

Elastic
@elastic
Where developers learn, build, and share. Your source for hands-on demos, cheat sheets, explainers and more.
가입 October 2009
183 팔로잉 중    65.7K
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.
더 보기