
Lingxi developed and released a public-facing sample notebook for the ContextualAI/examples repository, enabling users to create and query Retrieval-Augmented Generation (RAG) applications using the Contextual AI Platform. The work focused on delivering a runnable, end-to-end demonstration in Jupyter Notebook, with seamless integration for Google Colab and clear API key setup instructions. Lingxi addressed a broken “Open in Colab” link by updating it to reflect the notebook’s new public release name, ensuring a smooth onboarding experience. The project demonstrated skills in Python development, API integration, and documentation, providing tangible business value and improving developer accessibility to platform features.

Monthly 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.
Monthly 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.
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