microsoft/rag-experiment-accelerator
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.
This tool helps researchers, data scientists, and developers efficiently test and evaluate the performance of RAG (Retrieval Augmented Generation) systems built with Azure AI Search and Azure OpenAI. You provide your data and search queries, and it produces detailed reports and visualizations comparing how different search strategies and configurations impact the quality of AI-generated responses. It's designed for those who need to fine-tune and optimize their RAG applications.
298 stars. No commits in the last 6 months.
Use this if you are developing a RAG application and need a structured way to experiment with different search and OpenAI configurations to find the best performing setup.
Not ideal if you are looking for a simple, out-of-the-box RAG solution without needing to dive deep into performance testing and hyperparameter tuning.
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Python
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Last pushed
Apr 08, 2025
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