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Farzad

PROFILE

Farzad

Developed a RAG Fundamentals Notebook for the microsoft/rag-time repository, delivering an experiment-ready workflow that integrates Azure OpenAI and Azure AI Search. The work focused on enabling rapid prototyping by demonstrating the complete process from question preparation to vector search and concise answer generation within a Jupyter Notebook environment. The implementation included setup for Azure OpenAI and Azure AI Search clients, showcasing how to retrieve relevant documents and generate answers based on retrieved information. Python and Jupyter Notebooks were used to ensure reproducibility and clarity, while repository hygiene was maintained through the addition of a .gitignore to manage dependencies and artifacts.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
461
Activity Months1

Your Network

4726 people

Same Organization

@microsoft.com
4720
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember

Work History

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 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.

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

1 repo

Overview of all repositories you've contributed to across your timeline

microsoft/rag-time

Feb 2025 Feb 2025
1 Month active

Languages Used

Jupyter NotebookPython

Technical Skills

Azure AI SearchAzure OpenAIJupyter NotebooksRAGVector Search