Jalin Wang developed and integrated DashVector as a new vector store option for the PAI-RAG repository, expanding its retrieval capabilities and offering users greater flexibility in configuring storage backends. The work involved writing Python integration code to align DashVector with the existing retrieval pipeline, ensuring seamless compatibility and the ability to switch between vector stores without disruption. Jalin also updated the project’s documentation in Markdown to guide users through the new configuration and usage patterns, and managed dependency additions to support the integration. This focused engineering effort demonstrated depth in cloud integration, Python development, and vector database technologies within a short timeframe.