July 2025 monthly summary for Arklexai/Agent-First-Organization. Delivered a Milvus-backed data-management capability enabling bulk deletion of documents by QA IDs, significantly improving data hygiene and governance for vector data pipelines. The feature implemented is MilvusRetriever.delete_documents_by_qa_ids, which deletes multiple documents using a list of QA IDs via a filter expression and Milvus client's delete (commit 1cbb63646d24cfbc45061b5763d9a4dfda5e5bd4). There were no major bugs reported in this period; the focus was on robust, auditable data removal workflows and preparing the system for broader data-management capabilities in the next cycle. Overall, the work accelerates cleanup, reduces manual effort, and improves data quality for agent-first workflows. Technologies/skills demonstrated include Milvus, MilvusRetriever, filter-based deletions, and commit-traceable development.