Add 2.4 content links to Version History (#1979)
* Add 2.4 content links to Version History * Fix link URL Signed-off-by: Naarcha-AWS <naarcha@amazon.com> * Fix links. Fix experimental warnings Signed-off-by: Naarcha-AWS <naarcha@amazon.com> * Add security analytics Signed-off-by: Naarcha-AWS <naarcha@amazon.com> Signed-off-by: Naarcha-AWS <naarcha@amazon.com>
This commit is contained in:
Naarcha-AWS
GitHub
parent
605edd5ac3
commit
00dea2d06b
|
|
@ -5,11 +5,11 @@ parent: Discover
|
|||
nav_order: 5
|
||||
---
|
||||
|
||||
The multiple data sources feature is an experimental feature released in OpenSearch 2.4. It can't be used in a production environment. For updates on the feature’s progress or to leave feedback on improving the feature, see the [OpenSearch Forum discussion](https://forum.opensearch.org/t/feedback-experimental-feature-connect-to-external-data-sources/11144).
|
||||
{: .note }
|
||||
|
||||
# Multiple data sources
|
||||
|
||||
The multiple data sources feature is an experimental feature released in OpenSearch 2.4. It can't be used in a production environment. For updates on the feature’s progress or to leave feedback on improving the feature, see the [OpenSearch Forum discussion](https://forum.opensearch.org/t/feedback-experimental-feature-connect-to-external-data-sources/11144).
|
||||
{: .warning }
|
||||
|
||||
You can add multiple data sources to a single dashboard. OpenSearch Dashboards allows you to dynamically manage data sources, create index patterns based on those data sources, and execute queries against a specific data source and then combine visualizations in one dashboard.
|
||||
|
||||
In this tutorial we provide the steps for enabling the `data_source` setting in Dashboards; adding credentials, data source connections, and index patterns; and combining visualizations in a single dashboard.
|
||||
|
|
|
|||
|
|
@ -5,9 +5,11 @@ has_children: false
|
|||
nav_order: 110
|
||||
---
|
||||
|
||||
|
||||
# Model-serving framework
|
||||
|
||||
The Model-serving framework is an experimental feature. For updates on the progress of the Neural Search plugin, or if you want to leave feedback that could help improve the feature, join the discussion in the [Model-serving framework forum](https://forum.opensearch.org/t/feedback-machine-learning-model-serving-framework-experimental-release/11439).
|
||||
{: .warning}
|
||||
|
||||
ML Commons allows you to serve custom models and use those models to make inferences. For those who want to run their PyTorch deep learning model inside an OpenSearch cluster, you can upload and run that model with the ML Commons REST API.
|
||||
|
||||
This page outlines the steps required to upload a custom model and run it with the ML Commons plugin.
|
||||
|
|
|
|||
|
|
@ -6,6 +6,8 @@ has_children: false
|
|||
has_toc: false
|
||||
---
|
||||
|
||||
# Neural Search plugin
|
||||
|
||||
The Neural Search plugin is an experimental feature. For updates on the progress of the Neural Search plugin, or if you want to leave feedback that could help improve the feature, join the discussion in the [Neural Search forum](https://forum.opensearch.org/t/feedback-neural-search-plugin-experimental-release/11501).
|
||||
{: .warning}
|
||||
|
||||
|
|
|
|||
|
|
@ -299,7 +299,7 @@ Members of the OpenSearch community have built countless plugins for the service
|
|||
- [Index State Management]({{site.url}}{{site.baseurl}}/im-plugin/ism/index/)
|
||||
- [k-NN]({{site.url}}{{site.baseurl}}/search-plugins/knn/index/)
|
||||
- [ML Commons Plugin]({{site.url}}{{site.baseurl}}/ml-commons-plugin/index/)
|
||||
- [Neural Search]({{site.url}}{{site.baseurl}}/neural-search/index/)
|
||||
- [Neural Search]({{site.url}}{{site.baseurl}}/neural-search-plugin/index/)
|
||||
- [Notifications]({{site.url}}{{site.baseurl}}/notifications-plugin/index/)
|
||||
- [OpenSearch Dashboards]({{site.url}}{{site.baseurl}}/dashboards/index/)
|
||||
- [Performance Analyzer]({{site.url}}{{site.baseurl}}/monitoring-plugins/pa/index/)
|
||||
|
|
|
|||
|
|
@ -9,7 +9,7 @@ permalink: /version-history/
|
|||
|
||||
OpenSearch version | Release highlights | Release date |
|
||||
:--- | :--- | :--- | :---
|
||||
[2.4.0](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.4.0.md) | Includes Windows support, Point-in-time search, custom k-NN filtering, xy_point and xy_shape field types for Cartesian coordinates, GeoHex grid aggregation, and resilience enhancements, including search backpressure, cluster manager task throttling, and weighted zonal search request routing policy. In OpenSearch Dashboards, this release adds snapshot restore functionality, multiple authentication, and aggregate view of saved objects. This release includes the following experimental features: [searchable snapshots]({{site.url}}{{site.baseurl}}/opensearch/snapshots/searchable_snapshot/), [Compare Search Results]({{site.url}}{{site.baseurl}}/search-plugins/search-relevance/), multiple data sources in OpenSearch Dashboards, custom models in ML Commons, a new Neural Search plugin that supports semantic search, and a new Security Analytics plugin to analyze security logs. For a full list of release highlights, see the Release Notes. | 15 November 2022
|
||||
[2.4.0](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.4.0.md) | Includes Windows support, Point-in-time search, custom k-NN filtering, xy_point and xy_shape field types for Cartesian coordinates, GeoHex grid aggregation, and resilience enhancements, including search backpressure, cluster manager task throttling, and weighted zonal search request routing policy. In OpenSearch Dashboards, this release adds snapshot restore functionality, multiple authentication, and aggregate view of saved objects. This release includes the following experimental features: [searchable snapshots]({{site.url}}{{site.baseurl}}/opensearch/snapshots/searchable_snapshot/), [Compare Search Results]({{site.url}}{{site.baseurl}}/search-plugins/search-relevance/), [multiple data sources in OpenSearch Dashboards]({{site.url}}{{site.baseurl}}/dashboards/discover/multi-data-sources/), a new [Model Serving Framework]({{site.url}}{{site.baseurl}}/ml-commons-plugin/model-serving-framework/) in ML Commons, a new [Neural Search plugin]({{site.url}}{{site.baseurl}}/neural-search-plugin/index/) that supports semantic search, and a new [Security Analytics]({{site.url}}{{site.baseurl}}/security-analytics/index/) plugin to analyze security logs. For a full list of release highlights, see the Release Notes. | 15 November 2022
|
||||
[2.3.0](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.3.0.md) | This release includes the following experimental features: [segment replication]({{site.url}}{{site.baseurl}}/opensearch/segment-replication/), [remote-backed storage]({{site.url}}{{site.baseurl}}/opensearch/remote/), and [drag and drop]({{site.url}}{{site.baseurl}}/dashboards/drag-drop-wizard/) for OpenSearch Dashboards. Experimental features allow you to test new functionality in OpenSearch. Because these features are still being developed, your testing and feedback can help shape the development of the feature before it's official released. We do not recommend use of experimental features in production. Additionally, this release adds maketime and makedate datetime functions for the SQL plugin. Creates a new [OpenSearch Playground](https://playground.opensearch.org) demo site for OpenSearch Dashboards. For a full list of release highlights, see the Release Notes. | 14 September 2022
|
||||
[2.2.1](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.2.1.md) | Includes gradle updates and bug fixes for gradle check. | 01 September 2022
|
||||
[2.2.0](https://github.com/opensearch-project/opensearch-build/blob/main/release-notes/opensearch-release-notes-2.2.0.md) | Includes support for Logistic Regression and RCFSummarize machine learning algorithms in ML Commons, Lucene or C-based Nmslib and Faiss libraries for approximate k-NN search, search by relevance using SQL and PPL queries, custom region maps for visualizations, and rollup enhancements. For a full list of release highlights, see the Release Notes. | 11 August 2022
|
||||
|
|
|
|||
Loading…
Reference in New Issue