Building Agentic Ai With Rust

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Building Agentic Ai With Rust

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Author : Evan Sterling
language : en
Publisher: Independently Published
Release Date : 2025-06-10

Building Agentic Ai With Rust written by Evan Sterling and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.

Agentic AI-autonomous systems capable of perception, reasoning, and action-is redefining how we build intelligent applications. From AI customer service agents and healthcare assistants to real-time financial analysis tools, these systems integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and goal-oriented control. Rust, with its unmatched performance, safety guarantees, and asynchronous power via Tokio, is the ideal language to build scalable, high-concurrency AI agents that are production-ready. Written by a seasoned systems engineer and AI practitioner, Building Agentic AI with Rust is the first comprehensive guide focused on using Rust to build high-performance, autonomous AI agents. With deep real-world experience, clean architectural patterns, and a practical teaching style, this book bridges the gap between cutting-edge AI research and robust, deployable software engineering practices. This hands-on guide shows developers how to architect, implement, and deploy agentic AI systems using Rust and modern AI tools like OpenAI, Hugging Face, and vector search engines. Each chapter provides a step-by-step approach, from designing the agent loop to implementing a scalable RAG system and deploying with Docker and cloud services. You'll learn best practices for async programming with Tokio, profiling for performance, and implementing real-world use cases across industries. Implementing the Perceive-Reason-Act loop in Rust Architecting modular AI agents with traits and async tasks Integrating OpenAI and Hugging Face LLMs using structured prompts Building Retrieval-Augmented Generation (RAG) pipelines Scaling with Tokio, caching, and vector stores like Qdrant Packaging, containerizing, and deploying agents to AWS and GCP Monitoring, logging, and optimizing agents for production Full case studies: customer support, healthcare, and financial AI This book is written for Rust developers, AI engineers, system architects, and technical enthusiasts looking to build powerful autonomous agents with real-world capabilities. If you're comfortable with Rust and want to extend your skills into modern AI systems, this guide is for you. No prior experience with LLMs or RAG is required-concepts are introduced clearly and practically. Agentic AI is no longer experimental-it's production-ready, and it's here now. As the field of generative AI evolves rapidly, learning to build scalable, secure, and performant agents with Rust puts you ahead of the curve. Don't wait to catch up with the future-become one of the first engineers building it. Master the intersection of systems programming and generative AI. Build fast, safe, and intelligent autonomous agents with Rust today. Get your copy of Building Agentic AI with Rust and start coding the future of AI, now.

Generative Ai With Langchain

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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-23

Generative Ai With Langchain written by Ben Auffarth 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 2025-05-23 with Computers categories.

Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applications Key Features Bridge the gap between prototype and production with robust LangGraph agent architectures Apply enterprise-grade practices for testing, observability, and monitoring Build specialized agents for software development and data analysis Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis second edition tackles the biggest challenge facing companies in AI today: moving from prototypes to production. Fully updated to reflect the latest developments in the LangChain ecosystem, it captures how modern AI systems are developed, deployed, and scaled in enterprise environments. This edition places a strong focus on multi-agent architectures, robust LangGraph workflows, and advanced retrieval-augmented generation (RAG) pipelines. You'll explore design patterns for building agentic systems, with practical implementations of multi-agent setups for complex tasks. The book guides you through reasoning techniques such as Tree-of -Thoughts, structured generation, and agent handoffs—complete with error handling examples. Expanded chapters on testing, evaluation, and deployment address the demands of modern LLM applications, showing you how to design secure, compliant AI systems with built-in safeguards and responsible development principles. This edition also expands RAG coverage with guidance on hybrid search, re-ranking, and fact-checking pipelines to enhance output accuracy. Whether you're extending existing workflows or architecting multi-agent systems from scratch, this book provides the technical depth and practical instruction needed to design LLM applications ready for success in production environments.What you will learn Design and implement multi-agent systems using LangGraph Implement testing strategies that identify issues before deployment Deploy observability and monitoring solutions for production environments Build agentic RAG systems with re-ranking capabilities Architect scalable, production-ready AI agents using LangGraph and MCP Work with the latest LLMs and providers like Google Gemini, Anthropic, Mistral, DeepSeek, and OpenAI's o3-mini Design secure, compliant AI systems aligned with modern ethical practices Who this book is for This book is for developers, researchers, and anyone looking to learn more about LangChain and LangGraph. With a strong emphasis on enterprise deployment patterns, it’s especially valuable for teams implementing LLM solutions at scale. While the first edition focused on individual developers, this updated edition expands its reach to support engineering teams and decision-makers working on enterprise-scale LLM strategies. A basic understanding of Python is required, and familiarity with machine learning will help you get the most out of this book.

Learn Model Context Protocol With Python

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Author : Christoffer Noring
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-10-27

Learn Model Context Protocol With Python written by Christoffer Noring 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 2025-10-27 with Computers categories.

Get to grips with the Model Context Protocol (MCP) and learn how to build scalable, intelligent web applications with AI-ready architecture in Python Key Features The only resource you'll need to build, test, and deploy MCP servers and clients Take a modern approach toward building, testing, and securing distributed agentic AI apps Get clear, professional guidance on developing for both LLM and non-LLM clients Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLearn Model Context Protocol with Python introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale. Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. Next, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand how to describe the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components. The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps. The Python primer at the end rounds out the practical toolkit, making this book essential for any team building AI-native applications today.What you will learn Understand the MCP protocol and its core components Build MCP servers that expose tools and resources to a variety of clients Test and debug servers using the interactive inspector tools Consume servers using Claude Desktop and Visual Studio Code Agents Secure MCP apps, as well as managing and mitigating common threats Build and deploy MCP apps using cloud-based strategies Who this book is for This book is ideal for web developers, software architects, AI practitioners, and tech leads looking to build scalable AI-integrated applications using MCP. Product managers overseeing AI initiatives will also find this book valuable. A basic understanding of web development and AI concepts is needed to make the most of this book.

Learn Model Context Protocol With Typescript

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Author : Christoffer Noring
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-11-27

Learn Model Context Protocol With Typescript written by Christoffer Noring 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 2025-11-27 with Computers categories.

Get to grips with the Model Context Protocol (MCP) and learn how to build scalable, intelligent web applications with AI-ready architecture in TypeScript Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features The only resource you'll need to build, test, and deploy MCP servers and clients Take a modern approach toward building, testing, and securing distributed agentic AI apps Get clear, professional guidance on developing for both LLM and non-LLM clients Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLearn Model Context Protocol with TypeScript introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale. Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. After that, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components. The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps. *Email sign-up and proof of purchase requiredWhat you will learn Understand the MCP protocol and its core components Build MCP servers that expose tools and resources to a variety of clients Test and debug servers using the interactive inspector tools Consume servers using Claude for desktop and Visual Studio Code agents Secure MCP apps, as well as managing and mitigating common threats Build and deploy MCP apps using cloud-based strategies Who this book is for This book is ideal for web developers, software architects, AI practitioners, and tech leads looking to build scalable AI-integrated applications using MCP. Product managers overseeing AI initiatives will also find this book valuable. A basic understanding of web development and AI concepts is needed to make the most of this book.

Building Agentic Ai

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Author : Sinan Ozdemir
language : en
Publisher: Addison-Wesley Professional
Release Date : 2025-12-08

Building Agentic Ai written by Sinan Ozdemir and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-08 with Computers categories.

Transform Your Business with Intelligent AI to Drive Outcomes Building reactive AI applications and chatbots is no longer enough. The competitive advantage belongs to those who can build AI that can respond, reason, plan, and execute. Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment takes you beyond basic chatbots to create fully functional, autonomous agents that automate real workflows, enhance human decision-making, and drive measurable business outcomes across high-impact domains like customer support, finance, and research. Whether you're a developer deploying your first model, a data scientist exploring multi-agent systems and distilled LLMs, or a product manager integrating AI workflows and embedding models, this practical handbook provides tried and tested blueprints for building production-ready systems. Harness the power of reasoning models for applications like computer use, multimodal systems to work with all kinds of data, and fine-tuning techniques to get the most out of AI. Learn to test, monitor, and optimize agentic systems to keep them reliable and cost-effective at enterprise scale. Master the complete agentic AI pipeline Design adaptive AI agents with memory, tool use, and collaborative reasoning capabilities Build robust RAG workflows using embeddings, vector databases, and LangGraph state management Implement comprehensive evaluation frameworks beyond accuracy, including precision, recall, and latency metrics Deploy multimodal AI systems that seamlessly integrate text, vision, audio, and code generation Optimize models for production through fine-tuning, quantization, and speculative decoding techniques Navigate the bleeding edge of reasoning LLMs and computer-use capabilities Balance cost, speed, accuracy, and privacy in real-world deployment scenarios Create hybrid architectures that combine multiple agents for complex enterprise applications Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

The Last Engineer

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Author : Hiraq Citra M
language : en
Publisher: Hiraq Citra M
Release Date : 2026-01-27

The Last Engineer written by Hiraq Citra M and has been published by Hiraq Citra M this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-27 with Computers categories.

The Last Engineer: A Business Fable for the Age of AI, explores the most significant shift in software engineering since the compiler: the rise of Large Language Models (LLMs) and Artificial Intelligence. The book is framed as a story about confusing "Speed" with "Velocity" and proposes a third way: Agentic Product Engineering. This methodology aims to use the creativity of AI for logic generation while using strict mathematical constraints and tools like Rust, Type-State Patterns, and Adversarial Fuzzing to verify the code and build guardrails against danger.

Building Agentic Ai With N8n

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Author : Calen Voss
language : en
Publisher: Independently Published
Release Date : 2025-06-24

Building Agentic Ai With N8n written by Calen Voss and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.

The future of automation is agentic. With the rise of AI agents, large language models (LLMs), and no-code platforms, businesses and developers are rethinking how they build intelligent, scalable systems. n8n is a powerful open-source workflow automation tool that bridges no-code ease with advanced AI integrations, enabling users to build autonomous agents powered by GPT-4, Claude, Gemini, and custom APIs-without writing complex infrastructure code. This book is authored by a seasoned automation architect with hands-on experience building agentic workflows, AI copilots, and production-ready LLM-powered assistants. Drawing from real-world case studies, enterprise-grade automation patterns, and platform-specific techniques, this guide reflects today's best practices for anyone building next-generation AI systems using n8n. "BUILDING AGENTIC AI with n8n" is a practical and complete guide to designing, integrating, and deploying intelligent, autonomous agents using the n8n automation platform. You'll learn how to connect LLMs like OpenAI and Gemini, implement memory and context management, connect to APIs and databases, and scale your agentic workflows with reliability and observability. Whether you're a solo creator, startup builder, or automation engineer, this book delivers actionable knowledge for building real AI systems-without writing endless boilerplate code. Foundations of Agentic AI, No-Code Architecture, and Event-Driven Design Step-by-step guide to building LLM-integrated workflows Prompt engineering templates and AI chaining methods How to securely connect APIs (OpenAI, Gemini, LangChain, etc.) Data pipelines, customer support agents, and real-world use cases Debugging, monitoring, version control, and deployment strategies Comparisons with LangChain, Flowise, and other agent frameworks Appendices with prompt templates, API reference, and glossary This book is ideal for automation enthusiasts, no-code builders, developers, AI tinkerers, solopreneurs, tech startups, and operations teams looking to implement smart agentic workflows. Whether you're new to AI automation or seeking to enhance your LLM projects with reliable tools like n8n, this guide provides clear, hands-on knowledge without unnecessary fluff. In just a few hours, you'll go from understanding what agentic AI means to deploying your own intelligent workflows using n8n and state-of-the-art AI APIs. Each chapter is designed to deliver immediate value, progressively deepening your technical expertise and confidence with practical projects you can build today. Start building smarter, faster, and more autonomous systems-today. Buy "BUILDING AGENTIC AI with n8n" now and unlock the power of no-code AI agents, LLM workflows, and event-driven automation. Whether you're creating internal tools or launching AI-powered products, this book is your blueprint for scalable, future-ready AI automation.

Building Agentic Ai Systems

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Author : Anjanava Biswas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-21

Building Agentic Ai Systems written by Anjanava Biswas 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 2025-04-21 with Computers categories.

Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader Key Features Understand the foundations and advanced techniques of building intelligent, autonomous AI agents Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems Explore crucial aspects of trust, safety, and ethics in AI agent development and applications Book DescriptionGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What you will learn Master the core principles of GenAI and agentic systems Understand how AI agents operate, reason, and adapt in dynamic environments Enable AI agents to analyze their own actions and improvise Implement systems where AI agents can leverage external tools and plan complex tasks Apply methods to enhance transparency, accountability, and reliability in AI Explore real-world implementations of AI agents across industries Who this book is for This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.

Bridging The Gap Between Ai And Reality

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Author : Bernhard Steffen
language : en
Publisher: Springer Nature
Release Date : 2025-10-10

Bridging The Gap Between Ai And Reality written by Bernhard Steffen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-10 with Computers categories.

This open access book constitutes selected papers of the proceedings of the Third International Conference on Bridging the Gap between AI and Reality, AISoLA 2025, which took place in Rhodes, Greece, in November 2025. The papers included in this book focus on the following topics: AI assisted programming; digital humanities; approaches of using formal methods and ai in health care; models for trustworthy autonomous systems; responsible and trusted AI; safe autonomous vehicles; statistical model checking; verification and learning for assured autonomy; verification for neuro-symbolic artificial intelligence.

Multidisciplinary Approach In Research Area Volume 13

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Author : Chief Editor- Biplab Auddya, Editor- Prince Jaiswal, Dr. Sudipta Sil, Dr. Sudesh Kumari, Dr. Poonamlata S. Yadav, Dr. M. Karuppasamy, Dr Teena Chawla
language : en
Publisher: The Hill Publication
Release Date : 2024-05-28

Multidisciplinary Approach In Research Area Volume 13 written by Chief Editor- Biplab Auddya, Editor- Prince Jaiswal, Dr. Sudipta Sil, Dr. Sudesh Kumari, Dr. Poonamlata S. Yadav, Dr. M. Karuppasamy, Dr Teena Chawla and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-28 with Antiques & Collectibles categories.