Agentic Search System Blueprint: Building Intelligent, Context Aware AI Agents

Agentic Search System Blueprint guides you through designing and building intelligent, context-aware AI agents that seamlessly blend large language models with dynamic retrieval, tool integration, and multi-agent orchestration. You’ll learn how to:

• Architect reliable RAG pipelines that ground LLMs in external knowledge
• Build secure, scalable API wrappers and connectors to databases, web services, and file systems
• Orchestrate specialist agents for task delegation, error recovery, and load balancing
• Implement observability with structured logs, metrics, and distributed tracing
• Prototype, test, and deploy agents in containerized and cloud-native environments
• Explore cutting-edge topics: self-optimizing agents, federated collaboration, knowledge-graph integration, and quantum-enhanced retrieval

Packed with in-depth analysis, expert insights, and over 100 copy-and-paste code examples, this book delivers a step-by-step blueprint for production-ready AI agents. Whether you’re an ML engineer, backend developer, or technical leader, you’ll gain the patterns and best practices to transform LLM proofs-of-concept into robust, maintainable systems ready to power real-world applications.