Andrew Brookins

In this engaging discussion, Andrew Brookins, a Principal Applied AI Engineer at Redis, shares insights into the challenges of building AI agents. He explains how large language models' statelessness affects continuity and the critical role of memory management. Topics include the significance of fast data retrieval in AI systems, advancements in Redis like vector search and semantic caching, and the comparison between hybrid search and vector-only methods. Andrew also touches on the complexities of maintaining relevant memory and the development of effective world models for dynamic environments.