AI agents are reshaping industries, from personalized customer support to advanced healthcare diagnostics. What drives their autonomy and real-time decision-making? The answer lies in vector databases specialized systems that manage high-dimensional embeddings, enabling AI agents to excel in similarity search, context-aware memory retrieval, and retrieval-augmented generation (RAG).
Vector-Powered AI Agents: Unlocking Intelligent Systems with Similarity Search and Memory by Keith Kingsley is a world-class, accessible guide that demystifies vector databases and their pivotal role in AI. Designed for AI practitioners, developers, researchers, and enterprise teams, this book avoids complex mathematical equations, ensuring clarity for all readers while delivering practical insights to build intelligent, scalable, and secure AI systems.
What You Will Learn
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