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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 Added Conversation API in MLClient ### Issues Resolved [List any issues this PR will resolve] ### Check List - [ ] New functionality includes testing. - [ ]...

Support for RAG with Q&A Model via Connector. Currently we can do RAG only with text generation models I am using Q&A model for RAG The Q&A Model takes two...

enhancement

### Problem statement Today, pre-trained model endpoints and model meta list endpoint are hardcoded and point to openearch artifactory. When OpenSerach is deployed on prem on in different cloud provider,...

### Description We need to support a connector to the Oracle Cloud Infrastructure (OCI) and OCI GenAI service as ML so that the conversation search can work for Oracle Cloud...

**Is your feature request related to a problem?** Community user brings up a performance issue [here](https://forum.opensearch.org/t/how-to-register-sparse-encoding-model-in-aws-opensearch/17112/9?u=zane_neo), which reveals a performance issue in HttpClient of remote inference. The flow of the...

enhancement

**What is the bug?** During disaster recovery, all the nodes go down and need to restart. After all the nodes starts and join the cluster, models are failed to be...

bug

## Problem statement Today, customers can register models to OpenSearch using public URLs or local file systems. There is no solution to register ML models from Cloud providers. The only...

enhancement
RFC

Typically Remote model server support multiple APIs like remote inference, healthy check, or training, etc. Currently in Ml-commons we only support the "predict" API which maps to the "remote inference"...

enhancement

For other subprojects in ml-commons to have feature flags, we need common classes in org.opensearch.ml.settings to move out of the 'plugin' subproject and into 'common'. Since the plugin project takes...

dependencies
code quality

**Is your feature request related to a problem?** The RAG processor today makes remote inference calls (chat completion) via remote models. Although the model framework exposes a single interface for...

enhancement