Developed and integrated Milvus vector database support for the topoteretes/cognee repository, focusing on expanding backend architecture to enable pluggable vector storage solutions. The work involved designing and implementing a MilvusAdapter in Python, updating the vector engine to interface seamlessly with Milvus, and creating comprehensive tests to validate Milvus functionality. By preparing the vector backend for production use, this effort improved the scalability and relevance of vector search capabilities while laying the groundwork for future backend integrations. The project emphasized database integration, vector databases, and software engineering best practices, resulting in a robust foundation for production deployment without reported bugs.