kolchfa-awsandMelissa Vagi
826e6771ed
* Refactor ML section - local and remote models Signed-off-by: Fanit Kolchina <[email protected]> * Added command to calculate checksum Signed-off-by: Fanit Kolchina <[email protected]> * Add ONNX format to register API Signed-off-by: Fanit Kolchina <[email protected]> * Add sparse encoding predict example Signed-off-by: Fanit Kolchina <[email protected]> * Add API section Signed-off-by: Fanit Kolchina <[email protected]> * Refactor the API section Signed-off-by: Fanit Kolchina <[email protected]> * Typo Signed-off-by: Fanit Kolchina <[email protected]> * Implemented Vale comments Signed-off-by: Fanit Kolchina <[email protected]> * Add get connector API Signed-off-by: Fanit Kolchina <[email protected]> * Reword heading Signed-off-by: Fanit Kolchina <[email protected]> * Addressed tech review comments Signed-off-by: Fanit Kolchina <[email protected]> * Apply suggestions from code review Co-authored-by: Melissa Vagi <[email protected]> Signed-off-by: kolchfa-aws <[email protected]> --------- Signed-off-by: Fanit Kolchina <[email protected]> Signed-off-by: kolchfa-aws <[email protected]> Co-authored-by: Melissa Vagi <[email protected]>
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| default | Using ML models within OpenSearch | true | 50 |
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Using ML models within OpenSearch
Generally available 2.9 {: .label .label-purple }
To integrate machine learning (ML) models into your OpenSearch cluster, you can upload and serve them locally. Choose one of the following options:
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Pretrained models provided by OpenSearch: To learn more, see OpenSearch-provided pretrained models. For a list of supported models, see Supported pretrained models.
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Custom models such as PyTorch deep learning models: To learn more, see Custom models.
GPU acceleration
For better performance, you can take advantage of GPU acceleration on your ML node. For more information, see GPU acceleration.