Valentin Crettaz
Principal Product Manager / Admin Experience / AutoOps
Leveraging AutoOps to detect long-running search queries
Learn how AutoOps helps you investigate long-running search queries plaguing your cluster to improve search performance.
Elasticsearch hybrid search
Learn about hybrid search, the types of hybrid search queries Elasticsearch supports, and how to craft them.
Parsing JSON fields in Elasticsearch
Learn how to parse JSON fields in Elasticsearch using an ingest pipeline to efficiently index, query, and aggregate JSON data.
A quick introduction to vector search
This article is the first in a series of three that will dive into the intricacies of vector search, also known as semantic search, and how it is implemented in Elasticsearch.
Vector similarity measures and scoring
Explore vector similarity measures and scoring in Elasticsearch, including L1 & L2 distance, cosine similarity, dot product similarity and max inner product similarity.
Elasticsearch query logs: One coordinator-level line per query for ES|QL, DSL, SQL, and EQL
Easily understand query impact on cluster performance with Elasticsearch query logs. One coordinator-level line records ES|QL, DSL, SQL, and EQL per request and provides full query text, tracing, optional user context, and CCS hints
How to set up vector search in Elasticsearch
Learn how to set up vector search in Elasticsearch and execute k-NN searches.
Stop guessing which query is burning your cluster: Query activity in Kibana
Pinpoint long-running Elasticsearch searches from Kibana: live tasks, origin context, and cancel when the cluster allows without living in low-level APIs.
Elastic AutoOps now free for all: What you get with it
Elastic AutoOps is now free for all self-managed clusters. Learn what you get with it and how it compares to Stack Monitoring.
Elasticsearch memory usage guide
Exploring Elasticsearch memory requirements and the different types of memory statistics.
