tonic_validate
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
Evaluate the quality of AI-generated responses in applications that use retrieval techniques.
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Free · no card · unsubscribe anytimeMetrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
tonic_validate has 327 stars on GitHub. It has been forked 32 times. tonic_validate is written mainly in Python. It has been in active development since 2023. tonic_validate is available under the MIT license. Its main topics are evaluation-framework, evaluation-metrics, large-language-models, llm.
What is tonic_validate?
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
Is tonic_validate open source?
tonic_validate is an open-source project. It is released under the MIT license.
Is tonic_validate free?
Yes. tonic_validate is free and open source — you can use, modify and self-host it.
What license does tonic_validate use?
tonic_validate is available under the MIT license.
What language is tonic_validate written in?
tonic_validate is written mainly in Python.
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