ml-commons
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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.
Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 3 to 4.1.7. Release notes Sourced from actions/download-artifact's releases. v4.1.7 What's Changed Update @actions/artifact dependency by @bethanyj28 in actions/download-artifact#325 Full Changelog: https://github.com/actions/download-artifact/compare/v4.1.6...v4.1.7 v4.1.6 What's Changed updating @actions/artifact...
**Is your feature request related to a problem?** ### Problem Statement The current implementation of the ML Inference Search Response Processor in OpenSearch 2.16 supports many-to-one inference, where multiple documents...
# Problem statement Users in ml-commons can use RAG (Retrieval Augmented Generation) service either from an OpenSearch index or a bedrock knowledge base. The RAG service mainly consists of two...
**What is the bug?** If we create an AgentTool containing several tools and some tool may have their own input parameter, when ChatAgentRunner selects this AgentTool to execute, it will...
**What is the bug?** since this change in https://github.com/opensearch-project/ml-commons/commit/7cd52915d04d8ac7ddb6e37a74a256603587ce69 in ModelExecutor, the fields in model_config prefix is changed in payload. before this commit, when using the `model_config` parameters, the parameter...
**Is your feature request related to a problem?** Currently, when rewriting query type in ML Inference Search Request Processor, users can build up a new query using `query_template` parameters when...
Build blueprint for Bedrock converse API https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_Converse.html
### Describe the bug [2024-08-08T07:17:44,731][WARN ][a.d.h.t.HuggingFaceTokenizer] [opensearch-ml-node] maxLength is not explicitly specified, use modelMaxLength: 512 [2024-08-08T07:17:44,737][ERROR][o.o.m.e.a.DLModel ] [opensearch-ml-node] Failed to deploy model rXu9MJEB07lc2P8C1MiR ai.djl.translate.TranslateException: ai.djl.engine.EngineException: forward() Expected a value of...
**Description** Tutorial for multilingual reranking with cross-encoder model on SageMaker. **What solution would you like?** Create tutorial for multilingual reranking with cross-encoder model on SageMaker. **What alternatives have you considered?**...