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ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.

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1. Download a trained model (from the cluster , that was trained with the train api) and upload to another cluster. 2. Download custom model and upload to another cluster.

enhancement

Summary ML Commons primarily relies on [MLException](https://github.com/opensearch-project/ml-commons/blob/main/common/src/main/java/org/opensearch/ml/common/exception/MLException.java) and its derived classes: [ExecuteException](https://github.com/opensearch-project/ml-commons/blob/main/common/src/main/java/org/opensearch/ml/common/exception/ExecuteException.java) [MLLimitExceededException](https://github.com/opensearch-project/ml-commons/blob/main/common/src/main/java/org/opensearch/ml/common/exception/MLLimitExceededException.java) [MLResourceNotFoundException](https://github.com/opensearch-project/ml-commons/blob/main/common/src/main/java/org/opensearch/ml/common/exception/MLResourceNotFoundException.java) [MLValidationException](https://github.com/opensearch-project/ml-commons/blob/main/common/src/main/java/org/opensearch/ml/common/exception/MLValidationException.java) These exceptions define log severity ([reference](https://github.com/opensearch-project/ml-commons/blob/main/common/src/main/java/org/opensearch/ml/common/exception/MLValidationException.java)) and contribute to stats updates in the following places:...

bug

We can add helper checks via API (or at the least ML commons UI) to scan ingest pipelines, search pipelines, any other places where the models may be used in...

feature

**Is your feature request related to a problem?** Currently when a [connector blueprint](https://github.com/opensearch-project/ml-commons/tree/main/docs/remote_inference_blueprints) is added to the ml-commons repo, the [list of supported connectors](https://opensearch.org/docs/latest/ml-commons-plugin/remote-models/connectors/#supported-connectors) in the documentation website is not...

enhancement

**Is your feature request related to a problem?** Currently, there is no easy way to determine if a model was un-deployed at a particular point in time or not. For...

enhancement

Add how to configure ML inference processor for ingest and search pipeline to Cohere embedding multilingual blueprint.

**What is the bug?** Text Chunking processor in ingest pipeline while connecting to external embedding model like nvidia/nv-embedqa-mistral-7b-v2 is not sending the data to external model in correctly. It sends...

bug

From https://github.com/opensearch-project/ml-commons/issues/2986, user found they can create connector with invalid input like a wrong `pre_process_function`. We should add more validation.

enhancement
good first issue

**Is your feature request related to a problem?** Currently, we are configuring it to include authentication information when creating a custom ML connector. ```json POST /_plugins/_ml/connectors/_create { "name": "Custom Connector:...

enhancement

**Is your feature request related to a problem?** - [x] template query --targeting 2.19 - [x] ml inference search request extension --targeting 2.19 ~~load image from url function in Connector...

enhancement
v3.0.0
Roadmap:Vector Database/GenAI
v2.19.0