Redis is faster than other vector database providers in querying throughput and latency times. It outperformed Qdrant, Milvus, and Weaviate in querying throughput, achieving up to 3.4 times higher queries per second (QPS) than Qdrant, 3.3 times higher QPS than Milvus, and 1.7 times higher QPS than Weaviate for the same recall levels. On latency, Redis achieved up to 4 times less latency than Qdrant, 4.67 times than Milvus, and 1.71 times faster than Weaviate for the same recall levels. Additionally, Redis showed lower indexing time compared to other providers, with up to 2.8 times lower indexing time than Milvus and up to 3.2 times lower indexing time than Weaviate. The performance advantages of Redis were demonstrated in benchmarks against various vector database providers, including Qdrant, Milvus, Weaviate, Amazon Aurora PostgreSQL v16.1 with pgvector, MongoDB Atlas v7.0.8 with Atlas Search, and Amazon OpenSearch 2.11. Redis also outperformed other pure vector database providers in general-purpose databases with vector capabilities, such as Amazon MemoryDB and Google Cloud MemoryStore for Redis. The performance improvements were achieved through the introduction of a new enhancement to enable concurrent access to the index, allowing multiple queries to be executed concurrently on separate threads. This approach enabled efficient resource utilization across all configurations, resulting in consistent performance improvements.