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Langchain Llamaindex A Practical Guide


Langchain Llamaindex A Practical Guide
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Langchain Llamaindex A Practical Guide


Langchain Llamaindex A Practical Guide
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Langchain Llamaindex A Practical Guide written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


"LangChain & LlamaIndex: A Practical Guide" is an insightful exploration into the world of blockchain technology and its applications within the emerging cryptocurrency market. Authored by leading experts in the field, this book offers a comprehensive overview of LangChain, a cutting-edge blockchain platform, and LlamaIndex, a unique cryptocurrency index. Readers are taken on a journey through the intricacies of LangChain, learning about its architecture, functionality, and potential uses in various industries. From its secure decentralized network to its smart contract capabilities, the book provides clear explanations and practical examples to help readers grasp the fundamentals of this innovative technology. In parallel, the book delves into the fascinating realm of the LlamaIndex, a benchmark for tracking the performance of cryptocurrencies. Through detailed analysis and case studies, readers gain valuable insights into how the LlamaIndex is constructed, its methodology for selecting and weighting cryptocurrencies, and its significance in the broader financial landscape. More than just a theoretical exploration, "LangChain & LlamaIndex: A Practical Guide" equips readers with the knowledge and tools they need to navigate the rapidly evolving world of blockchain and cryptocurrencies. Whether you're a novice looking to understand the basics or a seasoned investor seeking to stay ahead of the curve, this book offers invaluable guidance for leveraging LangChain and interpreting the LlamaIndex to make informed decisions in the digital asset space. With its accessible language, real-world examples, and actionable advice, this book is a must-read for anyone interested in unlocking the potential of blockchain technology and cryptocurrency investing.



Building Data Driven Applications With Llamaindex


Building Data Driven Applications With Llamaindex
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Author : Andrei Gheorghiu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-10

Building Data Driven Applications With Llamaindex written by Andrei Gheorghiu 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 2024-05-10 with Computers categories.


Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications Key Features Examine text chunking effects on RAG workflows and understand security in RAG app development Discover chatbots and agents and learn how to build complex conversation engines Build as you learn by applying the knowledge you gain to a hands-on project Book DescriptionDiscover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.What you will learn Understand the LlamaIndex ecosystem and common use cases Master techniques to ingest and parse data from various sources into LlamaIndex Discover how to create optimized indexes tailored to your use cases Understand how to query LlamaIndex effectively and interpret responses Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit Customize a LlamaIndex configuration based on your project needs Predict costs and deal with potential privacy issues Deploy LlamaIndex applications that others can use Who this book is for This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework.



A Practical Guide To Generative Ai Using Amazon Bedrock


A Practical Guide To Generative Ai Using Amazon Bedrock
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Author : Avik Bhattacharjee
language : en
Publisher: Springer Nature
Release Date : 2025-07-08

A Practical Guide To Generative Ai Using Amazon Bedrock written by Avik Bhattacharjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.


This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding the fundamentals to mastering techniques, this book offers a step-by-step approach to leverage Amazon Bedrock to build, deploy, and secure Generative AI applications. The book presents structured chapters and practical examples to delve into key concepts such as prompt engineering, retrieval-augmented generation, and model evaluation. You will gain profound insights into the Amazon Bedrock platform. The book covers setup, life cycle management, and integration with Amazon SageMaker. The book emphasizes real-world applications, and provides use cases and best practices across industries on topics such as text summarization, image generation, and conversational AI bots. The book tackles vital topics including data privacy, security, responsible AI practices, and guidance on navigating governance and monitoring challenges while ensuring adherence to ethical standards and regulations. The book provides the tools and knowledge needed to excel in the rapidly evolving field of Generative AI. Whether you're a data scientist, AI engineer, or business professional, this book will empower you to harness the full potential of Generative AI and drive innovation in your organization. What You Will Learn Understand the fundamentals of Generative AI and Amazon Bedrock Build Responsible Generative AI applications leveraging Amazon Bedrock Know techniques and best practices See real-world applications Integrate and manage platforms Handle securty and governance issues Evaluate and optimze models Gain future-ready insights Understand the project life cycle when building Generative AI Applications Who This Book Is For Data scientistys, AI/ML engineers and architects, software developers plus AI enthusiasts and studenta and educators, and leaders who want to evangelize within organizatios



The Generative Ai Practitioner S Guide


The Generative Ai Practitioner S Guide
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Author : Arup Das
language : en
Publisher: TinyTechMedia LLC
Release Date : 2024-07-20

The Generative Ai Practitioner S Guide written by Arup Das and has been published by TinyTechMedia LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-20 with Computers categories.


Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of? This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns—author, retriever, extractor, agent, and experimental—to effectively implement GenAI systems within an organization. The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications bridges critical knowledge gaps for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy GenAI. In today’s rapidly evolving world, staying ahead of the competition requires a deep understanding of these five implementation patterns and the potential benefits and risks associated with GenAI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI’s transformative impact on various industries. Empower your organization with a competitive edge in today’s marketplace using The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it’s not the tech that’s tiny, just the book!™



Generative Ai Fundamentals And Interview Guide


Generative Ai Fundamentals And Interview Guide
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Author : Navin Manaswi
language : en
Publisher: BFC Publications
Release Date : 2025-01-07

Generative Ai Fundamentals And Interview Guide written by Navin Manaswi and has been published by BFC Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Fiction categories.


"Generative AI Fundamentals and Interview Preparation" is your gateway to mastering the exciting world of Generative AI and Large LanguageModels. A comprehensive guide for IT professionals, data scientists, software engineers, solution architects, and AI researchers, this book covers foundational to advanced Generative AI concepts while preparing you for interviews in this dynamic field. Explore key interview questions, delve into the mechanics of Transformers, BERT, Llama and GPT models, and learn to build cutting-edge LLM applications using Hugging Face. Gain insights into embeddings, vector databases, fine-tuning techniques, basic and advanced RAG, LangChain, LlamaIndex, Multimodal AI and evaluation metrics to master the transformative power of AI



Neo4j The Definitive Guide


Neo4j The Definitive Guide
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Author : Luanne Misquitta
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-07-23

Neo4j The Definitive Guide written by Luanne Misquitta 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 2025-07-23 with Computers categories.


Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures. Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to: Make practical decisions in the proof of concept stage to maximize value Revisit and revise your decisions when transitioning to production Configure and implement observability features for in-production data graphs Integrate graph databases into existing enterprise architectures



Building Ai Agents With Llms Rag And Knowledge Graphs


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.



Generative Ai From Beginner To Paid Professional Part 3


Generative Ai From Beginner To Paid Professional Part 3
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Author : Bolakale Aremu
language : en
Publisher: AB Publisher LLC
Release Date : 2024-11-19

Generative Ai From Beginner To Paid Professional Part 3 written by Bolakale Aremu and has been published by AB Publisher LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Computers categories.


Dive deep into the world of Hugging Face and unlock the tools you need to create, fine-tune, and deploy state-of-the-art AI models. Part 3 of the Generative AI from Beginner to Paid Professional series is your complete guide to mastering Hugging Face’s powerful ecosystem through practical projects and real-world applications. This book takes you beyond the basics, providing hands-on exercises and expert insights to help you leverage Hugging Face for NLP, vision tasks, and beyond. You'll not only learn to work with pretrained models but also gain the skills to customize and deploy AI solutions that solve real-world problems. What’s inside: > Practical Hands-On Learning: Master Hugging Face tools by building projects like text summarization, chatbots, and image classification. > Advanced Techniques: Learn fine-tuning, model optimization, and efficient inference for high-performance applications. > Real-World Deployments: Understand how to host models on Hugging Face Spaces and integrate them into pipelines with tools like LangChain. > Production-Ready Projects: Get step-by-step guidance on creating deployable AI solutions, from concept to implementation. By the end of this book, you’ll have the confidence and skills to design and deliver professional-grade AI solutions, whether for personal projects, freelance opportunities, or enterprise applications. Who this book is for: This guide is perfect for data scientists, AI enthusiasts, and developers eager to take their skills to the next level and monetize their knowledge. Whether you're a student or a professional, Part 3 will prepare you to build innovative solutions and thrive in the booming AI industry. Take the leap into AI mastery and start creating the future.



Langchain Applications In Modern Llm Development


Langchain Applications In Modern Llm Development
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24

Langchain Applications In Modern Llm Development written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.


"LangChain Applications in Modern LLM Development" "LangChain Applications in Modern LLM Development" serves as the definitive guide to deploying, scaling, and optimizing Large Language Model (LLM) applications with the powerful LangChain framework. Beginning with an insightful exploration of the historical evolution of LLMs and the motivating philosophy behind LangChain, the book positions this framework at the forefront of contemporary AI tooling. Detailed comparisons showcase LangChain's unique modularity, broad ecosystem integrations, and extensibility, setting the stage for both newcomers and advanced practitioners to appreciate its architectural strengths. Through clear explanations of foundational concepts such as chains, prompt management, and memory handling, the book equips readers to design and orchestrate robust, context-aware LLM workflows. Advanced chapters delve deep into data integration, retrieval augmented generation, agent-driven reasoning, tool management, and multi-agent orchestration. Security, compliance, and observability are treated as first-class concerns, with comprehensive guidance on safeguarding workflows, detecting threats, and ensuring transparency across deployments. Readers are also introduced to proven strategies for quality assurance and continuous evaluation, ensuring lasting reliability in production environments. Closing with real-world case studies across diverse domains—including enterprise knowledge systems, document automation, research assistants, and regulated industries—the book illuminates the transformative power of LangChain in modern AI applications. Forward-looking chapters examine emerging trends, multi-framework interoperability, sustainability, and the evolving LangChain community, making this text an indispensable resource for anyone seeking to harness the full potential of LLM technologies in both current and future contexts.



Generative Ai From Beginner To Paid Professional Part 2


Generative Ai From Beginner To Paid Professional Part 2
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Author : Bolakale Aremu
language : en
Publisher: AB Publisher LLC
Release Date : 2024-11-09

Generative Ai From Beginner To Paid Professional Part 2 written by Bolakale Aremu and has been published by AB Publisher LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-09 with Computers categories.


Unlock the Future of Generative AI and Skyrocket Your Career. This book is your comprehensive roadmap from grasping the fundamentals of AI to mastering the tools and techniques that will set you apart in today’s AI-driven world. Perfect for anyone serious about a career in AI, this book bridges the gap between knowledge and action, giving you the tools to earn, build, and innovate with generative AI technologies. Whether you’re building your first AI project or refining your professional skills, this is the guide you’ve been waiting for. Packed with hands-on projects and practical exercises, this book empowers you to build and launch your very own generative AI solutions. By the end, you’ll not only be equipped with in-demand AI skills but also be prepared to launch your AI projects in the real world. Welcome to Generative AI from Beginner to Paid Professional, Part 2: Master Prompt Design, Gemini Multimodal in Vertex AI Studio, LangChain, Launching & Deploying Generative AI Projects. In Part 2 of this transformative guide, you'll delve deep into powerful AI frameworks and cutting-edge technologies, including Gemini Multimodal, Vertex AI Studio, and LangChain, gaining the expertise needed to design custom AI solutions and deploy scalable AI projects. Whether you’re an aspiring professional or a seasoned developer, this book is your step-by-step companion to navigating the evolving landscape of generative AI. What You’ll Learn: 1. Master Prompt Design: Craft perfect prompts that make your AI work for you, no matter the use case. 2. Gemini Multimodal & Vertex AI Studio: Learn to integrate multimodal models into your AI pipeline, revolutionizing how you build intelligent systems that understand and generate both text and images. 3. LangChain for Real-World AI Projects: Leverage LangChain to create robust, API-powered workflows that bring your AI projects to life. 4. Launching & Deploying AI Projects: From conceptualization to deployment, turn your AI ideas into real-world applications with proven strategies.