Vector-Powered AI Agents : Unlocking Intelligent Systems with Similarity Search and Memory: A Practical Guide to Building Scalable, Context-Aware, and
Overview
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
- The critical role of vector databases in powering autonomous AI agents
- How to build memory-augmented AI systems for enhanced context retention
- Techniques for similarity search and hybrid search to create responsive AI
- Implementing retrieval-augmented generation (RAG) for dynamic, context-driven AI responses
- Strategies for scalability, security, and optimization of AI agents
- Real-world applications transforming healthcare, e-commerce, and customer service
- AI Engineers and Data Scientists aiming to harness vector databases for advanced AI applications
- Developers and Machine Learning Practitioners building scalable, memory-augmented AI systems
- Enterprise AI Teams and Product Leaders deploying next-generation AI-driven automation
- Researchers and Academics exploring efficient similarity search and retrieval-augmented AI
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9798293215140
- ISBN-10: 9798293215140
- Publisher: Independently Published
- Publish Date: July 2025
- Dimensions: 10 x 7 x 0.27 inches
- Shipping Weight: 0.52 pounds
- Page Count: 128
Related Categories
