During February 2026, Storeksfeed developed a configurable pgvector integration for the HKUDS/LightRAG repository, focusing on backend development and database management using Python and PostgreSQL. The work introduced a configuration-driven approach that allows teams to enable or disable the pgvector extension through a dedicated option, ensuring backward compatibility and supporting future vector backend alternatives. By conditionally executing vector-related logic based on configuration, Storeksfeed enhanced deployment flexibility and reduced setup risks across diverse PostgreSQL environments. This feature addressed the need for smoother migrations and adaptable workflows in vector-based applications, demonstrating thoughtful engineering depth within a concise, targeted development period.