Architecting Rag 2 0 For Ai Agent

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Building Ai Agents With Llms Rag And Knowledge Graphs

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Author : Salvatore Raieli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-11

Building Ai Agents With Llms Rag And Knowledge Graphs written by Salvatore Raieli 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 2025-07-11 with Computers categories.

Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously Key Features Implement RAG and knowledge graphs for advanced problem-solving Leverage innovative approaches like LangChain to create real-world intelligent systems Integrate large language models, graph databases, and tool use for next-gen AI solutions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, you'll find a practical roadmap from concept to implementation. You’ll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together. By the end of this book, you’ll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.What you will learn Learn how LLMs work, their structure, uses, and limits, and design RAG pipelines to link them to external data Build and query knowledge graphs for structured context and factual grounding Develop AI agents that plan, reason, and use tools to complete tasks Integrate LLMs with external APIs and databases to incorporate live data Apply techniques to minimize hallucinations and ensure accurate outputs Orchestrate multiple agents to solve complex, multi-step problems Optimize prompts, memory, and context handling for long-running tasks Deploy and monitor AI agents in production environments Who this book is for If you are a data scientist or researcher who wants to learn how to create and deploy an AI agent to solve limitless tasks, this book is for you. To get the most out of this book, you should have basic knowledge of Python and Gen AI. This book is also excellent for experienced data scientists who want to explore state-of-the-art developments in LLM and LLM-based applications.

Mastering Openai For Enterprise Unlock The Power Of Openai To Build Intelligent Applications For Businesses With Gpt Dall E Rag And Ai Agents

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Author : Sriram Subramanian
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-03-11

Mastering Openai For Enterprise Unlock The Power Of Openai To Build Intelligent Applications For Businesses With Gpt Dall E Rag And Ai Agents written by Sriram Subramanian and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Computers categories.

Master OpenAI and Unlock the Future of AI-Powered Innovation Key Features● In-depth exploration of OpenAI tools, models, and enterprise use cases● Hands-on projects with extensive code samples for practical learning● Real-world case studies with ethical AI insights and best practices Book DescriptionOpenAI is transforming industries with cutting-edge AI models, redefining how businesses operate, innovate, and compete. Mastering OpenAI for Enterprise is your definitive guide to harnessing the power of OpenAI’s groundbreaking technologies, including GPT models, DALL·E, and more. Designed for AI engineers, developers, and business leaders, this book offers an in-depth understanding of OpenAI’s tools and their real-world applications in enterprise settings. This hands-on guide provides a structured learning path, featuring practical code samples, step-by-step implementations, and industry case studies that bridge theory with practice. Whether you're building intelligent chatbots, leveraging AI for automation, or exploring generative AI for creative solutions, this book equips you with the knowledge and skills to seamlessly integrate OpenAI into your workflows. Ethical AI development and responsible implementation are also key themes, ensuring that innovation is balanced with accountability. As AI continues to evolve at an unprecedented pace, mastering OpenAI is no longer optional—it’s essential. The future belongs to those who can effectively leverage these technologies. Don’t get left behind—equip yourself with the expertise needed to stay ahead in the AI revolution. What you will learn● Gain expertise in OpenAI’s models, APIs, and enterprise applications● Build intelligent chatbots and virtual assistants using ChatGPT● Implement ethical AI practices for responsible and fair deployment● Optimize and deploy OpenAI models for scalable business solutions● Analyze real-world case studies to drive AI-powered innovation● Leverage generative AI to automate, enhance, and transform workflows

Generative Ai On Aws

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Author : Chris Fregly
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-11-13

Generative Ai On Aws written by Chris Fregly 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 2023-11-13 with Computers categories.

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock

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Author :
language : en
Publisher: "O'Reilly Media, Inc."
Release Date :

written by 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 with categories.

Advanced Information Systems Engineering Workshops

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Author : Jānis Grabis
language : en
Publisher: Springer Nature
Release Date : 2025-06-13

Advanced Information Systems Engineering Workshops written by Jānis Grabis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.

This book constitutes the thoroughly refereed proceedings of the international workshops associated with the 37th International Conference on Advanced Information Systems Engineering, CAiSE 2025, which was held in Vienna, Austria, during June 16-20, 2025. The total of 24 full papers and 5 short papers included in these proceedings were carefully reviewed and selected from 59 submissions. They stem from the following workshops: - 3rd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering (KG4SDSE) - 3rd International Workshop on Hybrid Artificial Intelligence and Enterprise - Modelling for Intelligent Information Systems (HybridAIMS) - Joint Workshop on Blockchain for Information Systems Engineering (B4ISE) and Workshop on Information Systems and AI for Life Sciences (iSAILS) - 3rd Workshop on Modelling and Implementation of Digital Twins for Complex Systems (MIDas4CS) - Joint Process Mining with Unstructured Data workshop (PMUD) and International Workshop on Multimodal Process Mining (MMPM) - Joint Workshop on Large Language Models in Service-Oriented Architectures Design: Innovations and Applications (LLM-SOA) and Generation of Synthetic Datasets for Information Systems (GENSYN) - 1st Workshop on Compliance in the Era of Artificial Intelligence (CAI).

Snowflake Snowpro Specialty Gen Ai Certification Practice 300 Questions Answer

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Author : Rashmi Shah
language : en
Publisher: QuickTechie.com | A career growth machine
Release Date :

Snowflake Snowpro Specialty Gen Ai Certification Practice 300 Questions Answer written by Rashmi Shah and has been published by QuickTechie.com | A career growth machine this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

QuickTechie.com proudly presents this comprehensive self-paced study guide for the SnowPro® Specialty: Gen AI Certification Beta Exam. This guide is meticulously designed to outline the Snowflake domains, objectives, and topics essential for success on this advanced certification. While use of this guide does not guarantee certification, it serves as a foundational resource for your preparation journey. Guide Overview This study guide is structured to provide a clear roadmap for understanding Generative AI concepts within the Snowflake ecosystem. It details the specific Snowflake topics and subtopics covered on the exam, complemented by additional resources such as documentation, blogs, and exercises to deepen your understanding. The estimated study time to complete the guide is between 10 to 13 hours, with the understanding that the value of specific links may vary based on individual experience. Target Audience The SnowPro Specialty: Gen AI Certification Beta Exam is specifically designed for professionals with one or more years of Gen AI experience in an enterprise environment, particularly within Snowflake. Successful candidates are expected to possess advanced proficiency in Python coding, alongside assumed knowledge of data engineering and SQL. This exam is ideal for: AI or ML Engineers Data Scientists Data Engineers Data Application Developers Data Analysts with programming experience Prerequisites To be eligible for the Specialty: Gen AI Certification Beta Exam, candidates must hold an active SnowPro Associate: Platform or SnowPro Core Certification in good standing. Exam Content and Format The SnowPro Specialty: Gen AI Certification Beta Exam rigorously tests specialized knowledge, skills, and best practices for leveraging Gen AI methodologies within Snowflake. The assessment includes scenario-based questions, interactive questions, and real-world examples to evaluate a candidate's ability to: Define and implement Snowflake Gen AI principles, capabilities, and best practices concerning infrastructure, data governance, and cost governance. Leverage Snowflake Cortex AI features, Large Language Models (LLMs), and offerings to address customer use cases, including Cortex Analyst, Cortex Search, Cortex Fine-tuning, and Snowflake Copilot. Build open-source models using Snowpark Container Services and Snowflake Model Registry, such as those from Hugging Face. Utilize Document AI to train and troubleshoot models tailored to specific customer requirements. Key Knowledge Areas Candidates are expected to possess in-depth knowledge of: The Snowflake Cortex suite of Gen AI features and their underlying models. Retrieval Augmented Generation (RAG) applications that leverage LLMs.

The Ai Pocketbook

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Author : Emmanuel Maggiori
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-22

The Ai Pocketbook written by Emmanuel Maggiori and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Computers categories.

Everything you need to know about AI to survive--and thrive--as an engineer. Haven't you heard? AI can instantly generate code, find and track network intrusions, parse your observability data, and even write a Medium article about it all. If AI is making you sweat about your future as an engineer, don't worry. Your job has never been safer! The AI Pocket Book tells you everything you need to surf the AI wave instead of drowning in it. In The AI Pocket Book you'll get: * Deciphering AI jargon (there's lots of it!) * Where AI fits within your field of engineering * Why AI hallucinates--and what to do about it * What to do when AI comes for your job * Balancing skepticism with unrealistic expectations The AI Pocket Book gives you Emmanuel Maggiori's unvarnished and opinionated take on where AI can be useful, and where it still kind of sucks. Whatever your tech field, this short-and-sweet guide delivers the facts and techniques you'll need in the workplace of the present. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book The AI Pocket Book crams everything engineers need to know about AI into one short volume you can fit into your pocket. You'll take a peek inside the AI black box for an overview of transformers, LLMs, hallucinations, tokens, and embeddings, along with the modern ecosystem of AI models and tools. You'll find out when putting AI first fails your customers, understand how to get from "almost good enough" to "excellent," and pick up some tips for dealing with the inevitable, potentially expensive, screw ups. About the reader For engineers in all fields, from software to security. About the author Emmanuel Maggiori, PhD, is a 10-year AI industry insider who specializes in machine learning and scientific computing. He has developed AI for everything from processing satellite images to packaging deals for holiday travelers. Emmanuel Maggiori is the author of Smart Until It's Dumb and Siliconned.

Artificial Intelligence In Hci

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Author : Helmut Degen
language : en
Publisher: Springer Nature
Release Date : 2024-05-22

Artificial Intelligence In Hci written by Helmut Degen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-22 with Computers categories.

The three-volume book set LNAI 14734, 14735, and 14736 constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The AI-HCI 2024 proceedings were organized in the following topical sections: Part I: Human-centered artificial intelligence; explainability and transparency; AI systems and frameworks in HCI; Part II: Ethical considerations and trust in AI; enhancing user experience through AI-driven technologies; AI in industry and operations; Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing.

The Illustrated London News

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Author :
language : en
Publisher:
Release Date : 1854

The Illustrated London News written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1854 with categories.

Scientific American

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Author :
language : en
Publisher:
Release Date : 1885

Scientific American written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1885 with Science categories.