Langchain Llamaindex A Practical Guide
Download Langchain Llamaindex A Practical Guide PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Langchain Llamaindex A Practical Guide book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
LangChain & LlamaIndex: A Practical Guide
"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
Author: Andrei Gheorghiu
language: en
Publisher: Packt Publishing Ltd
Release Date: 2024-05-10
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
Author: Avik Bhattacharjee
language: en
Publisher: Springer Nature
Release Date: 2025-07-08
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