Worked on enhancing VertexAI grounding integration within the elastic/elasticsearch-labs repository, focusing on improving the accuracy and stability of grounding-enabled search and QA workflows. Updated ELSER templates to ensure the correct template is consistently used during the grounding process, which reduced mis-grounding and increased reliability for enterprise deployments. Applied minor fixes and prepared documentation to support maintainability and future iterations. Leveraged Python for template management and integrated AI-driven natural language processing techniques to strengthen the overall grounding capabilities. The work addressed a specific feature need, contributing to more robust VertexAI-backed features without introducing new bugs during the development period.