Context Engineering
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Context Engineering For Multi Agent Systems
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Author : Denis Rothman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-11-18
Context Engineering For Multi Agent Systems written by Denis Rothman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-18 with Business & Economics categories.
Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context Engine Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Design semantic blueprints to give AI structured, goal-driven contextual awareness Orchestrate multi-agent workflows with MCP for adaptable, context-rich reasoning Engineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguards Book DescriptionGenerative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you’ll learn to design and apply across real-world scenarios. Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you’ll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you’ll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You’ll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence. By the end of this book, you’ll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence. *Email sign-up and proof of purchase requiredWhat you will learn Develop memory models to retain short-term and cross-session context Craft semantic blueprints and drive multi-agent orchestration with MCP Implement high-fidelity RAG pipelines with verifiable citations Apply safeguards against prompt injection and data poisoning Enforce moderation and policy-driven control in AI workflows Repurpose the Context Engine across legal, marketing, and beyond Deploy a scalable, observable Context Engine in production Who this book is for This book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.
Agentic Ai For Dummies
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Author : Pam Baker
language : en
Publisher: John Wiley & Sons
Release Date : 2026-01-27
Agentic Ai For Dummies written by Pam Baker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-27 with Computers categories.
An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligence Agentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond to commands. They set goals, make decisions, and take initiative without direct human interaction. Sound like a lot to wrap your head around? Fortunately Agentic AI For Dummies is here to help you gain understanding of this advancing technology. Written by the author of ChatGPT For Dummies and Generative AI For Dummies, this easy-to-understand tech guide helps you take your first steps into Agentic AI. Get insight into the technologies driving Agentic AI, a road map for shifting from legacy systems to Agentic systems, and a tour of real-world use cases for Agentic AI. This books arms you with an understanding to make better decisions about how and when to use Agentic AI technologies. Inside the book: Discussions of the technological foundations of agentic AI Explorations of the wide variety of applications of the AI agents, including in scientific research, innovation, business operations, healthcare, and more Insightful examinations of the ethical considerations and hurdles you'll need to navigate when it's time to deploy agentic AI in your company Perfect for business owners, entrepreneurs, managers, executives, professionals and team leaders in the private sector, Agentic AI For Dummies is a hands-on toolkit and strategy guide for using autonomous AI solutions to solve hard problems in your organization.
Context Engineering For Ai
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Author : Jacobs V Bradley
language : en
Publisher: Independently Published
Release Date : 2025-08
Context Engineering For Ai written by Jacobs V Bradley and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08 with Computers categories.
Master the Future of AI with Context Engineering - Transform Prompts into Production-Ready Intelligence In a world where AI is powering business, research, and innovation, simply knowing how to write prompts is no longer enough. Context engineering is the missing link that separates hobbyist experiments from scalable, production-ready AI systems. This book, "Context Engineering for AI: From Prompting to Production," gives you the complete blueprint to design reliable, cost-efficient, and high-performing LLM applications that thrive in real-world environments. Inside, you will learn how to structure context pipelines, implement Retrieval-Augmented Generation (RAG), optimize tokens for cost and speed, and add short-term and persistent memory for multi-turn conversations. Through hands-on projects, real-world case studies, and production-proven techniques, you'll gain the practical skills to transform AI from a concept into a business-ready solution. Written by Jacobs V. Bradley, a seasoned technology expert and thought leader in AI systems and intelligent automation, this book reflects up-to-date industry trends and provides actionable insights for developers, data scientists, AI engineers, and technology leaders. Whether you're building document intelligence for finance, customer support automation at scale, or multi-agent context routing systems, this guide empowers you to engineer AI solutions that are accurate, reliable, and future-proof. If you want to go beyond prompt engineering and gain the technical mastery that modern enterprises demand, this is the essential guide. Future-proof your skills, boost your AI expertise, and turn concepts into deployable, revenue-generating systems with context engineering. Perfect For: Developers and AI engineers building real-world LLM applications Tech leaders seeking scalable, cost-efficient AI solutions Readers of top-selling AI, machine learning, and automation books
Applied Ai For Enterprise Java Development
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Author : Alex Soto Bueno
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-11-07
Applied Ai For Enterprise Java Development written by Alex Soto Bueno and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-07 with Computers categories.
As a Java enterprise developer or architect, you know that embracing AI isn't just optional—it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groundbreaking AI technologies into your applications without getting mired in complexity? Enter this clear-cut, no-nonsense guide to integrating generative AI into your Java enterprise ecosystem. With insights from authors Alex Soto Bueno, Markus Eisele, and Natale Vinto, you'll learn to marry the robustness of Java's enterprise world with the dynamism of AI. It's more than just a how-to—it's a way to elevate enterprise software with savvy AI integrations, ensuring your skills and your applications remain on the cutting edge. Inside, you'll unlock the power to: Demystify GenAI's role and impact on contemporary software development Craft actionable, AI-driven applications using Java's rich ecosystem of open source frameworks Implement field-tested AI patterns tailored for prod-ready, enterprise-strength applications Access and integrate top-tier open source AI models with Java's Inference APIs Navigate the Java framework landscape with AI-centric agility and confidence
The Context Engineering Handbook
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Author : NEWMAN. CHANDLER
language : en
Publisher: Independently Published
Release Date : 2025-07-22
The Context Engineering Handbook written by NEWMAN. CHANDLER and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Computers categories.
The Context Engineering Handbook: Build reliable, high-performance LLM systems using Scalable RAG Architectures with LlamaIndex and Vector Databases Struggling to keep your AI agents accurate and scalable in a world of exploding data and token limits? The Context Engineering Handbook offers a step-by-step blueprint for mastering context engineering-the art of building reliable, high-performance LLM systems using Scalable RAG architectures, LlamaIndex, and modern vector databases. You'll move beyond proof-of-concept prompts into production-grade pipelines that deliver consistent, cost-effective results. What's inside: Discover how to architect end-to-end retrieval-augmented generation (RAG) workflows that: Ingest and chunk documents with precision Embed and store vectors in Pinecone, Weaviate, or Qdrant Design dynamic prompt pipelines using LangChain and LlamaIndex Implement real-time streaming ingestion for live updates Manage memory with hierarchical summaries and scratchpads Secure inputs, redact PII, and maintain audit-ready logs You'll gain: Practical skills to build scalable RAG architectures that serve thousands of requests per second Hands-on expertise with LlamaIndex data structures and vector database integrations Proven strategies for cost-monitoring, KV-cache optimization, and token-budget management Techniques to isolate context in sub-agents and orchestrate complex workflows with Orkes Conductor or LangGraph Security and compliance best practices, from input sanitization to immutable audit trails Advanced methods like reinforcement-learning-driven context selection and self-validation testing Take the next step: Add The Context Engineering Handbook to your toolkit today-your AI systems will thank you.
Foundations Of Context Engineering
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Author : Darryl Jeffery
language : en
Publisher: Independently Published
Release Date : 2025-08-23
Foundations Of Context Engineering written by Darryl Jeffery and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with Computers categories.
Foundations of Context Engineering: Mastering Prompt Design, Core Principles, and the Model Context Protocol (MCP) to Build Smarter, Reliable, and Scalable AI Systems AI success isn't just about bigger models-it's about better context. Poorly designed prompts and unstructured workflows lead to hallucinations, rising costs, and fragile systems. This book shows you how to fix that. Foundations of Context Engineering is a practical guide for developers, engineers, and AI architects who want to move beyond ad-hoc prompting and build intelligent systems that work consistently at scale. You'll learn how to design effective prompts, structure reliable context pipelines, and implement the Model Context Protocol (MCP) to enable seamless agent-to-agent communication. Inside, you'll discover: Proven prompt design patterns and anti-patterns Core principles for managing context windows and reducing hallucinations Step-by-step context pipeline design with data ingestion and preprocessing How MCP outperforms traditional APIs in reliability and scalability Testing, evaluation, and optimization strategies for production systems With detailed explanations, code illustrations, and real-world case studies, this book gives you the tools to transform AI from unpredictable outputs into dependable, scalable solutions. Build AI systems that don't just work-they last.
Context Engineering For Llms Applications
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Author : Carter Zhang
language : en
Publisher: Independently Published
Release Date : 2025-09-17
Context Engineering For Llms Applications written by Carter Zhang and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-17 with Computers categories.
Context Engineering for LLMs is the operational handbook for anyone who wants LLMs to behave predictably, efficiently, and responsibly in production. The book reframes prompt engineering as a systems discipline context pipelines that include chunking, compression, vectorization, retrieval orchestration, and memory layers. You'll learn token-economics for large context windows, practical prompt architectures, system and user message patterns, and templates for common tasks. The middle sections cover embedding strategies, vector-store patterns, and RAG designs that ensure relevance, freshness, and cost control. Memory system chapters describe how to design short-term and long-term memory, when to use episodic memory, and how to index and expire context. Security and reliability are core themes: learn prompt injection defenses, context validation, and audit trails. The book closes with evaluation, A/B testing, CI pipelines for prompt changes, and operational patterns for continuous improvement. What's inside: Practical prompt templates and system-message strategies for structured outputs. Token cost modeling and context-window optimization techniques. Chunking, semantic compression, and fragment re-assembly recipes. Embedding strategies, batching, and hybrid index maintenance. Memory architectures: ephemeral, episodic, and persistent memory designs. RAG workflows and retrieval orchestration best practices. Prompt-injection defenses, content filtering, and context validation checks. Evaluation frameworks, metrics, and test suites for context quality. CI/CD for prompts and context pipelines, plus A/B testing patterns. Operational playbooks for latency, scaling, and cost tradeoffs. Who this book is for: Prompt engineers, ML engineers, SREs, and product teams shipping LLM features. Teams that require predictable, auditable, and cost-effective LLM behavior.
Engineering College Instruction In Professionalism
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Author : National Society of Professional Engineers
language : en
Publisher:
Release Date : 1963
Engineering College Instruction In Professionalism written by National Society of Professional Engineers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1963 with Engineering categories.
U S Government Research Development Reports
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Author :
language : en
Publisher:
Release Date : 1967
U S Government Research Development Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with Science categories.
Detc2005
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Author :
language : en
Publisher:
Release Date : 2005
Detc2005 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.