As AI shifts from one-off prompts to autonomous, context-aware agents, enterprise infrastructure is hitting a new ceiling. The bottleneck is not compute. It is memory.
In this latest O’Reilly report, you’ll discover how intelligent systems can retrieve, recall, and reason over interrelated data while staying fast, consistent, and explainable. You’ll also learn why distributed SQL is emerging as the backbone of AI-ready data layers, unifying structured, semantic, and temporal retrieval at scale.
Built for data architects, AI infrastructure engineers, and technology leaders, this free report delivers practical guidance and proven patterns, including RAG pipelines, long-term memory graphs, and hybrid transactional + analytical architectures, so you can design memory systems that hold up in production.
Download the full report to learn how to:
- Identify why memory, not compute, is the limiting factor for agentic AI
- Unify structured data, vectors, and history into a single retrieval layer
- Evaluate trade-offs between distributed SQL, vector databases, and hybrid stacks
- Design scalable architectures for persistent, contextual AI workloads
- Modernize your data foundation to support intelligent, adaptive systems