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

By Todd Chandler

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.

• Format: Paperback
• Language: English
• ISBN: B0F6C3TP3M
• ISBN13: 9798281256384
• Release Date: April 2025
• Publisher: Independently Published
• Length: 194 Pages
• Weight: 0.76 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"