microsoft/rag-time
Feb 2025 – Feb 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Azure AI SearchAzure OpenAIJupyter NotebooksRAGVector Search
Farzad
PROFILE
Farzad
Faisal Sunavala developed a RAG Fundamentals Notebook for the microsoft/rag-time repository, focusing on creating an experiment-ready workflow template that integrates Azure OpenAI and Azure AI Search. Using Python within Jupyter Notebooks, Faisal implemented an end-to-end process that prepares questions, retrieves relevant documents through vector search, and generates concise answers. The notebook demonstrates client setup for both Azure OpenAI and Azure AI Search, supporting rapid prototyping and onboarding. To maintain clean project structure, Faisal included a .gitignore to manage dependencies and build artifacts. The work delivered a foundational, reproducible workflow for evaluating retrieval-augmented generation with modern Azure technologies.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
461
Activity Months1
Your Network
4171 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 Monthly Summary for microsoft/rag-time. Focused on delivering an experiment-ready RAG workflow template and ensuring clean repo hygiene to accelerate onboarding and evaluation of Azure OpenAI + Azure AI Search.
1 Commits • 1 Features
Feb 1, 2025February 2025 Monthly Summary for microsoft/rag-time. Focused on delivering an experiment-ready RAG workflow template and ensuring clean repo hygiene to accelerate onboarding and evaluation of Azure OpenAI + Azure AI Search.
February 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Azure AI SearchAzure OpenAIJupyter NotebooksRAGVector Search
Repositories Contributed To
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