During April 2026, work centered on enhancing text ranking capabilities within the infiniflow/ragflow repository by developing and integrating two new reranking models, gte-rerank-v2 and qwen3-rerank. The approach involved updating Python-based rerank logic and centralizing model registration within configuration files, enabling more modular experimentation and streamlined model management. These enhancements leveraged skills in AI model integration and machine learning, with JSON used for configuration updates. The focus remained on feature delivery and system stabilization, with no major bugs addressed during this period. The result was improved accuracy and flexibility in text ranking workflows for the application’s users.