Blog
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Open Distro for Elasticsearch 1.8.0 is released, supports Cosine Similarity in k-NN
We are pleased to announce the release for Open Distro for Elasticsearch 1.8.0. that now supports cosine similarity distance metric with k-NN. We released k-NN similarity search feature in Open Distro for Elasticsearch 1.4.0 with support for Euclidean distance to calculate similarity between the vectors. With cosine similarity, you can now measure the orientation between two vectors while Euclidean distance...
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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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