ContextualAI/examples
Nov 2024 – Nov 2024
1 Month active
Languages Used
JSONJupyter NotebookPython
Technical Skills
API IntegrationCode OrganizationData ScienceDocumentationJupyter NotebooksMachine Learning
Lingxi @ Contextual
PROFILE
Lingxi @ Contextual
Developed and released a public-facing Jupyter notebook in the ContextualAI/examples repository, demonstrating end-to-end Retrieval-Augmented Generation (RAG) workflows using the Contextual AI Platform API. Focused on practical usability, the notebook was enhanced for seamless execution in Google Colab, including clear API key setup instructions and robust integration with Colab’s launch features. Addressed a broken link issue by updating the “Open in Colab” URL after renaming the notebook for public release, ensuring a smooth onboarding experience. The work emphasized Python development, API integration, and documentation, delivering a reproducible, business-ready demo for both customers and developers exploring platform capabilities.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
1
Lines of code
538
Activity Months1
Your Network
19 peopleSame Organization
@contextual.ai6
Akash MahajanMember
dzorluMember
Jinash RouniyarMember
Jonathan FengMember
Qile-JiangMember
Sean SmithMember
Shared Repositories
13
Ahmad KhanMember
Akash MahajanMember
dzorluMember
Jinash RouniyarMember
Jonathan FengMember
Karan BirMember
Nicholas LuiMember
nitishgourishettyMember
Pedro PachecoMember
Work History
November 2024
5 Commits • 1 Features
Nov 1, 2024Monthly performance summary for 2024-11: Delivered a public-ready Platform API sample notebook and stabilized the Colab experience, focusing on tangible business value through a runnable, end-to-end RAG demo for customers and developers.
5 Commits • 1 Features
Nov 1, 2024Monthly performance summary for 2024-11: Delivered a public-ready Platform API sample notebook and stabilized the Colab experience, focusing on tangible business value through a runnable, end-to-end RAG demo for customers and developers.
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
API IntegrationCode OrganizationData ScienceDocumentationJupyter NotebooksMachine LearningNatural Language ProcessingPython Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline