Welcome to my tutorial on how to build a Retrieval-Augmented Generation (RAG) Evaluation Tool and Python Library! In this video, I will guide you through the process of creating a comprehensive evaluation tool for RAG systems, complete with various metrics to assess the quality of generated text.
What You'll Learn:
✅ Setting up the project structure
✅ Implementing evaluation metrics such as BLEU, ROUGE, BERT Score, Perplexity, Diversity, and Racial Bias
✅ Creating a Python library that can be easily installed and used
✅ Writing test cases to ensure the robustness of the tool
✅ Packaging and publishing the library to PyPI
By the end of this tutorial, you'll have a powerful evaluation tool to enhance the performance and reliability of your RAG systems.
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GitHub: github.com/AIAnytime/rag-eval...
Library: pypi.org/project/rag-evaluator/
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