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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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### Description add multi modal tutorial using ml inference processor ### Check List - [ ] New functionality includes testing. - [ ] New functionality has been documented. - [...

**Is your feature request related to a problem?** When use KNN query with a dense model it's not easy to decide what [space type](https://opensearch.org/docs/1.0/search-plugins/knn/approximate-knn#spaces) we should use. If the recommended...

enhancement

**Is your feature request related to a problem?** In some use cases, users don't want the agent to store conversations as they have their own conversations store and manager. Currently...

enhancement

### Describe the bug I'm trying to run the PPL tool using openai as LLM. I followed the PPL tool tutorial step by step but instead of using SageMaker I...

bug

**Is your feature request related to a problem?** Currently, ML Commons allows updating or deleting models without validation, which can lead to the following issues: 1. Deleting a model that...

enhancement

This is a component issue for `2.20.0`. Coming from https://github.com/opensearch-project/opensearch-build/issues/. Please follow the following checklist. __Please refer to the DATES in that post__. How to use this issue ## This...

untriaged
v2.20.0

**Is your feature request related to a problem?** When integrating ml-commons in other Java applications like data prepper, lambda, etc, it's better to use the SDSK client to interact with...

enhancement

### **Current Implementation:** ML inference search request and response processors are the only search processors with an `ignoreMissing` flag. In the current implementation: All fields in input_maps and out_maps are...

bug

**Is your feature request related to a problem?** Raised the concern from this PR https://github.com/opensearch-project/ml-commons/pull/3553, we should set the default model interface when it's using the post processing function from...

enhancement
good first issue