kolchfa-aws f999e0a8a8
Add an overview of search methods and pages for each search method (#5636)
* Restructuring TOC

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Resolve merge conflicts

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* More foundational rewrites of ML

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* TOC restructure

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Rename and rewrite search pages and add keyword search

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Small wording change

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Small wording change

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Updated response

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Apply suggestions from code review

Co-authored-by: Melissa Vagi <vagimeli@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>

* Small rewording

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Move neural search to top of vector search list

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Change terminology

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Reorganize search methods list

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Rename links

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* More link renames

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Apply suggestions from code review

Co-authored-by: Nathan Bower <nbower@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>

* Implemented editorial comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

---------

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
Co-authored-by: Melissa Vagi <vagimeli@amazon.com>
Co-authored-by: Nathan Bower <nbower@amazon.com>
2023-11-29 15:28:20 -05:00

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1.3 KiB
Markdown

---
layout: default
title: Machine learning
nav_order: 1
has_children: false
has_toc: false
nav_exclude: true
---
# Machine learning
The [ML Commons plugin](https://github.com/opensearch-project/ml-commons/) provides machine learning (ML) features in OpenSearch.
## Integrating ML models
For ML-model-powered search, you can use a pretrained model provided by OpenSearch, upload your own model to the OpenSearch cluster, or connect to a foundation model hosted on an external platform.
For more information, see [Integrating ML models]({{site.url}}{{site.baseurl}}/ml-commons-plugin/integrating-ml-models/).
## Managing ML models in OpenSearch Dashboards
Administrators of ML clusters can use OpenSearch Dashboards to review and manage the status of ML models running inside a cluster. For more information, see [Managing ML models in OpenSearch Dashboards]({{site.url}}{{site.baseurl}}/ml-commons-plugin/ml-dashboard/).
## Support for algorithms
ML Commons supports various algorithms to help train ML models and make predictions or test data-driven predictions without a model. For more information, see [Supported algorithms]({{site.url}}{{site.baseurl}}/ml-commons-plugin/algorithms/).
## ML Commons API
ML Commons provides its own set of REST APIs. For more information, see [ML Commons API]({{site.url}}{{site.baseurl}}/ml-commons-plugin/api/index/).