The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
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Bumps mlflow from 2.16.1 to 2.17.2.
Release notes
Sourced from mlflow's releases.
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Changelog
Sourced from mlflow's changelog.
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Commits
67b8870
Runpython3 dev/update_mlflow_versions.py pre-release ...
(#13619)0390bf3
fix69b2f09
Add new UC tool extraction support (#13567)e3ea537
Add numpy to requirement when pandas is found (#13580)02c58a7
Fix RunnableBinding saving (#13566)9003658
Remove the duplicated Gateway pages and provide redirects (#13595)0a0c603
Update databricks env when running mlflow.models.predict (#13569)0e257d0
Corrected order of bad_character_message (#13593)d536f34
ChatModel tool calling tutorial (#13542)52b8610
Databricks SDK based models artifact repo (#13203)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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