Qdrant version 1.16 introduces several significant updates aimed at enhancing its multitenancy, search efficiency, and user experience. The new Tiered Multitenancy feature allows for a more flexible approach by combining small and large tenants within a single collection, promoting growing tenants to dedicated shards, which balances resource allocation and performance. The introduction of ACORN improves the quality of filtered vector searches, particularly when multiple filters with low selectivity are applied, by examining neighbors of neighbors in the HNSW graph, albeit with some performance overhead. Version 1.16 also debuts inline storage, which optimizes disk-based vector searches by embedding quantized vector data directly within HNSW nodes, thereby reducing random access reads and enhancing search performance. Enhancements to full-text search include the addition of the text_any condition for simpler matching of multiple terms and ASCII folding for better handling of multilingual texts. Furthermore, a new conditional update API helps prevent unintended data overwrites during concurrent updates, and a redesigned Web UI improves user interaction with the platform. These updates collectively aim to boost Qdrant's performance and usability, catering to the growing demands of vector search applications.