Accelerated Data Science 2.9.1 is released

The following changes were made in ADS 2.9.1:

  • Added support for deploying LangChain application as OCI Model Deployment.
  • Added support for using HuggingFace Evaluation as LLM guardrail.
  • Added deployment support for RetrievalQA when using OpenSearchVectorSearch or FAISS vector DB as retriever.
  • Added reload parameters in GenericModel.save() to provide option to not reload score.py.
  • Fixed a bug in model deployment progress bar due to fixed number of steps.
  • Fixed a bug in ads opctl build-image job-local command.