Worked on the eosphoros-ai/DB-GPT repository to enhance the stability and accuracy of vector-based search functionality. Addressed a bug in the Milvus vector store integration where the topk parameter was incorrectly handled, causing search results to be limited to four items regardless of user configuration. By ensuring that the topk value from the query was correctly passed to the search function, the fix improved both retrieval relevance and user control over search results. Utilized Python and applied expertise in vector databases and bug fixing to deliver a targeted, auditable change that directly impacted the flexibility and correctness of search operations.