Worked on stabilizing vector search functionality in the langchain-ai/langchain-azure repository by addressing a bug in the Azure Cosmos DB NoSQL Vector Search component. Focused on backend development and database management, the work involved replacing a hardcoded field alias with a dynamically configured field name to ensure alignment between SQL projection and result extraction. This adjustment resolved mismatches that previously led to runtime KeyErrors and improved the accuracy and consistency of both vector and hybrid search queries. The solution was implemented using Python and SQL, and was co-authored through a collaborative pull request, reflecting a methodical approach to bug resolution.