Kittisak Vongthongsri developed integration documentation for DeepEval within the chroma-core/chroma repository, enabling smoother adoption of DeepEval in Retrieval-Augmented Generation (RAG) workflows. He authored detailed Markdown guides covering installation, usage, and evaluation, supporting technical teams in leveraging DeepEval for RAG evaluation. In the elastic/elasticsearch-labs repository, Kittisak created a Jupyter Notebook demonstrating retrieval optimization in a DeepEval and Elasticsearch-based RAG pipeline. This notebook defined evaluation metrics, integrated an Elasticsearch retriever, and included hyperparameter tuning to improve retrieval quality and latency. His work emphasized reproducibility, technical clarity, and practical guidance, utilizing Python, Elasticsearch, and technical writing skills.