Blog
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Index State Management in Open Distro for Elasticsearch
Elasticsearch is an open source distributed search and analytics engine based on Apache Lucene. After adding your data to Elasticsearch, you can perform full-text searches on the data with all of the features you may expect: search by field, search multiple indices, boost fields, rank results by score, sort results by field, and aggregate results. You can also use Kibana...
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Real-time Anomaly Detection is now available in Open Distro for Elasticsearch 1.7.0
We are excited to announce the general availability of real-time anomaly detection for streaming applications in this release. We would like to thank the community for their feedback on the preview release of the feature. The anomaly detection feature is built on RCF (Random Cut Forest), an unsupervised algorithm, that detects anomalies on live data and identifies issues as they...
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Open Distro for Elasticsearch 1.7.0 Released
Open Distro for Elasticsearch 1.7.0 is now available for download. Upgrade to 1.7.0 to leverage the latest features and bug fixes.
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The Elasticsearch Weight Function
Distributed systems scale by coordinating and distributing their workloads horizontally, across several machines. In Elasticsearch, this is done by partitioning indexes into shards and distributing them across data nodes in the cluster.
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Build K-Nearest Neighbor (k-NN) Similarity Search Engine with Elasticsearch
Since the OpenSearch Project introduced the k-nearest neighbor plugin in 2019, it has supported both exact and approximate k-NN search. The approximate k-NN search method is more efficient for large datasets with high dimensionality because it reduces the cardinality of searchable vectors. This approach is superior in speed at the cost of a slight reduction in accuracy.
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