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Prajjwal Yadav

PROFILE

Prajjwal Yadav

Prajjwal Yadav developed end-to-end Retrieval Augmented Generation (RAG) demonstrations for the weaviate/recipes repository, focusing on enhancing customer-facing Jupyter notebooks and streamlining onboarding. Using Python and the Weaviate client, Prajjwal integrated OpenAI models, including gpt-5 and gpt-oss:20b via Ollama, to showcase RAG workflows with improved data loading and setup instructions. The work included refactoring the OpenAI integration to fetch data from URLs and simplifying dependencies, which reduced friction for new contributors. By updating the RAG fashion email generation notebook, Prajjwal enabled personalized recommendations, demonstrating depth in generative AI, API integration, and maintainable notebook development practices.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
5,138
Activity Months1

Work History

August 2025

3 Commits • 3 Features

Aug 1, 2025

In August 2025, delivered end-to-end RAG-driven demonstrations in the weaviate/recipes repository, improved OpenAI integration reliability, and streamlined data loading to accelerate experimentation and onboarding. The work enhances customer-facing notebooks and reduces setup friction while expanding model compatibility.

Activity

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Quality Metrics

Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance73.4%
AI Usage80.0%

Skills & Technologies

Programming Languages

Jupyter NotebookPython

Technical Skills

API IntegrationData LoadingDockerGenerative AIJupyter NotebooksLLMsOllamaOpenAI APIPythonPython DevelopmentRAGWeaviateWeaviate Client

Repositories Contributed To

1 repo

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

weaviate/recipes

Aug 2025 Aug 2025
1 Month active

Languages Used

Jupyter NotebookPython

Technical Skills

API IntegrationData LoadingDockerGenerative AIJupyter NotebooksLLMs