Developed a feature-rich vector store backend for the run-llama/llama_index repository, focusing on seamless integration with Alibaba Cloud MySQL. Leveraging Python and SQL, the work introduced CRUD operations, similarity search, metadata filtering, and automatic table schema creation, all supported by robust connection management and multi-metric similarity support. The implementation emphasized reliability and maintainability by migrating to SQLAlchemy-based data access and employing safe parameterized queries. Comprehensive unit and integration tests validated core functionality and edge cases, while enhanced documentation and onboarding materials, including notebooks and demos, improved product discovery and adoption for users seeking scalable, cloud-based vector database solutions.