Technology continues to evolve at a rapid pace, and two recent discussions highlight critical shifts in how developers and organizations must approach search infrastructure and artificial intelligence. In a video from NetApp Instaclustr, viewers learn why traditional OFFSET-based pagination fails in vector search environments. The explanation focuses on Apache Cassandra's vector query capabilities, revealing that driver paging and OFFSET simply do not function the way many developers expect. Instead, the video offers a straightforward alternative pattern for handling pagination in RAG and vector search applications, making it an essential watch for anyone building modern search systems.
Meanwhile, FINOS presents a thought-provoking conversation with Heather Domin, Vice President and Head of the Office of Responsible AI at HCLTech. Domin examines the emerging concept of the Agentic Web, where autonomous AI agents may soon execute high-stakes financial transactions. She outlines the significant risks this shift introduces and explains why organizations need to pay immediate attention as they integrate increasingly autonomous systems into their operations.
Together, these posts underscore a common theme: as AI and data technologies grow more sophisticated, understanding their limitations and governance challenges becomes vital. Whether the focus is on vector search mechanics or responsible AI deployment, staying informed is key to building reliable, ethical systems.
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