A PHP Client for Vector Search in Legacy Projects: Bridging the Gap Between Modern AI and Legacy PHP Applications

This paper presents a novel PHP client library for Qdrant vector database that enables modern vector search capabilities in legacy PHP applications (PHP 7.2+). The library addresses the critical gap between cutting-edge AI technologies and existing enterprise systems that cannot be easily upgraded to modern PHP versions. We demonstrate how this solution enables semantic search, recommendation systems, and similarity matching in production environments without requiring system modernization. The library provides full API coverage, comprehensive testing, and seamless integration with existing frameworks. Our implementation shows that vector search technologies can be successfully integrated into legacy systems, opening new possibilities for AI-enhanced applications in enterprise environments.