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Acknowledgments

Acknowledgments

Rhesis includes and depends on several excellent open-source projects. We are grateful to the developers and maintainers of these projects.

Evaluation Frameworks

garak - LLM Vulnerability Scanner

Rhesis uses garak for LLM security testing and vulnerability detection probes.

  • Website: garak.ai 
  • Repository: github.com/NVIDIA/garak 
  • License: Apache License 2.0
  • Copyright: Copyright (c) 2023 Leon Derczynski, Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES

ragas - RAG Assessment Framework

Rhesis uses ragas for Retrieval-Augmented Generation (RAG) evaluation metrics.

deepeval - LLM Evaluation Framework

Rhesis uses deepeval for comprehensive LLM evaluation metrics including single-turn and conversational assessments.

deepteam - LLM Red Teaming Framework

Rhesis uses deepteam for red teaming and adversarial testing of LLM systems.

Infrastructure

OpenTelemetry Python

Rhesis uses OpenTelemetry for distributed tracing and observability.

Transformers - Hugging Face

Rhesis optionally uses the Transformers library for machine learning model integration.

License Information

The full text of the Apache License, Version 2.0 is available at: apache.org/licenses/LICENSE-2.0 

For complete attribution details, see the NOTICE  file in the repository root.

Contributing