Worked on enhancing the couchbase-examples/vector-search-cookbook and couchbase-tutorials repositories by improving documentation clarity, aligning terminology, and standardizing naming conventions for vector search workflows. Focused on refining Jupyter Notebook outputs and updating documentation to reduce onboarding time and improve guidance for users integrating Couchbase with AI and data science workflows. Utilized Python, Markdown, and Jupyter to implement consistent formatting, clarify vector index types, and harmonize terminology across tutorials. The work established a maintainable foundation for future features, improved performance reporting, and ensured that documentation and codebase changes aligned with evolving business goals and technical standards for database management.