Building Chatbots Using Rag Technique With Langchain
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Building Chatbots Using Rag Technique With Langchain
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Author : Adnan Syed
language : en
Publisher: Adnan Syed
Release Date :
Building Chatbots Using Rag Technique With Langchain written by Adnan Syed and has been published by Adnan Syed this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Building RAG Chatbots with LangChain in Python" is a definitive guide crafted to empower developers, data scientists, and AI enthusiasts to master the creation of sophisticated chatbots utilizing the Retrieval-Augmented Generation (RAG) approach. This book unravels the intricate synergy between advanced natural language processing technologies and hands-on application development, with a focus on Python and prominent frameworks such as LangChain and Streamlit. From configuring your development environment to deploying dynamic, fully interactive AI chatbots, this manual offers a structured pathway through detailed instructions, real-world applications, and expert insights. Key Features: Deep Dive into RAG: Delve into the theoretical foundations and operational mechanics of Retrieval-Augmented Generation, understanding how it fuses retrieval-based and generative components to produce nuanced, contextually-aware responses. Practical Tutorials: Engage in comprehensive tutorials that guide you step-by-step through the intricacies of building a RAG-based chatbot from scratch, integrating essential components such as document loaders, text splitters, vector databases, and advanced generative models. Streamlit Integration: Learn to employ Streamlit to craft interactive user interfaces that facilitate real-time interactions with your chatbot, enhancing user experience with minimal frontend coding effort Why Read This Book? Bridge Theory and Practice: Seamlessly blend conceptual AI frameworks with tangible implementation strategies, enhancing both your theoretical understanding and practical skills. Hands-on Learning: Dive into practical examples, exercises, and code snippets that reinforce learning and facilitate a thorough understanding of complex topics. Innovation in AI: Position yourself at the forefront of AI technologies by mastering an innovative approach that integrates retrieval and generation for enhanced AI comprehension and response capabilities. Reader Takeaways: By the end of this book, readers will be well-equipped to design, build, and scale advanced RAG chatbots, possessing the necessary tools to innovate and implement state-of-the-art AI solutions effectively in various real-world scenarios. This book not only elevates the reader's technical skills but also enhances their capacity to drive significant advancements in AI applications. About the Author Adnan Syed is an experienced AI Engineer with a strong focus on Generative AI, Large Language Models (LLMs), and chatbots. With over five years of experience, Adnan has applied his expertise to various projects, optimizing operations and driving business growth through innovative AI solutions. He is also a passionate educator, having trained numerous students in data science and AI. Under the mentorship of his father, Syed Shahbaz, a renowned AI and tech genius, Adnan developed a deep love for data science and AI from an early age. His professional journey in data science began at NeuEra AI, later moving to TechZone Academy, where he continued to refine his skills and contribute to the AI community. Building on this experience, Adnan co-founded AI Buddy with his father, Syed Shahbaz, and other industry experts. AI Buddy is dedicated to democratizing AI education, ensuring that learners from all backgrounds have the opportunity to explore and master AI technologies.
Building Conversational Generative Ai Apps With Langchain And Gpt
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Author : Mugesh S
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-06-04
Building Conversational Generative Ai Apps With Langchain And Gpt written by Mugesh S and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Computers categories.
TAGLINE Transform Text into Intelligent Conversations with LangChain and GPT. KEY FEATURES ● Build AI Chatbots with LangChain, Python and GPT models through hands-on guidance. ● Master Advanced Techniques like RAG, document embedding, and LLM fine-tuning. ● Deploy and Scale conversational AI systems for real-world applications. DESCRIPTION Conversational AI Apps are revolutionizing the way we interact with technology, enabling businesses and developers to create smarter, more intuitive applications that engage users in natural, meaningful ways. Building Conversational Generative AI Apps with LangChain and GPT is your ultimate guide to mastering AI-driven conversational systems. Starting with core concepts of generative AI and LLMs, you'll learn to build intelligent chatbots and virtual assistants, while exploring techniques like fine-tuning LLMs, retrieval-augmented generation (RAG), and document embedding. As you progress, you'll dive deeper into advanced topics such as vector databases and multimodal capabilities, enabling you to create highly accurate, context-aware AI agents. The book's step-by-step tutorials ensure that you develop practical skills in deploying and optimizing scalable conversational AI solutions. By the end, you'll be equipped to build AI apps that enhance customer engagement, automate workflows, and scale seamlessly. Unlock the potential of Building Conversational Generative AI Apps with LangChain and GPT and create next-gen AI applications today! WHAT WILL YOU LEARN ● Build and deploy AI-driven chatbots using LangChain and GPT models. ● Implement advanced techniques like retrieval-augmented generation (RAG) for smarter responses. ● Fine-tune LLMs for domain-specific conversational AI applications. ● Leverage vector databases for efficient knowledge retrieval and enhanced chatbot performance. ● Explore multimodal capabilities and document embedding for better context-aware responses. ● Optimize and scale conversational AI systems for large-scale deployments. WHO IS THIS BOOK FOR? This book is for developers, data scientists, and AI enthusiasts eager to build conversational applications using LangChain and GPT models. While a basic understanding of Python and machine learning concepts is beneficial, the book offers step-by-step guidance, making it accessible to both beginners and experienced practitioners. TABLE OF CONTENTS 1. Introduction to Conversational Generative AI 2. Natural Language Processing (NLP) Fundamentals 3. The Building Blocks of Rule-Based Chatbots 4. Statistical Language Models for Text Generation 5. Neural Network Architectures for Conversation 6. The Transformer Architecture Revolution 7. Unveiling ChatGPT and Architectures 8. Langchain Framework for Building Conversational AI 9. Exploring the LLM Landscape beyond GPT 10. The Transformative Impact of Conversational AI 11. Challenges and Opportunities in LLM Development Index
Langchain For Rag Beginners Build Your First Powerful Ai Gpt Agent
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Author : Karel Hernandez Rodriguez
language : en
Publisher: Karel Hernandez Rodriguez
Release Date : 2024-08-14
Langchain For Rag Beginners Build Your First Powerful Ai Gpt Agent written by Karel Hernandez Rodriguez and has been published by Karel Hernandez Rodriguez this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Computers categories.
Dive into the world of advanced AI with "Python LangChain for RAG Beginners" ✔ Learn how to code Agentic RAG Powered Chatbot Systems. ✔ Empower your Agents with Tools ✔ Learn how to Create your Own Agents This comprehensive guide takes you on a journey through LangChain, an innovative framework designed to harness the power of Generative Pre-trained Transformers (GPTs) and other large language models (LLMs) for creating sophisticated AI-driven applications. Starting from the basics, this book provides a detailed understanding of how to effectively use LangChain to build, customize, and deploy AI applications that can think, learn, and interact seamlessly. You will explore the core concepts of LangChain, including prompt engineering, memory management, and Retrieval Augmented Generation (RAG). Each chapter is packed with practical examples and code snippets that demonstrate real-world applications and use cases. Key highlights include: Getting Started with LangChain: Learn the foundational principles and set up your environment. Advanced Prompt Engineering: Craft effective prompts to enhance AI interactions. Memory Management: Implement various memory types to maintain context and continuity in conversations. Retrieval Augmented Generation (RAG): Integrate external knowledge bases to expand your AI's capabilities. Building Intelligent Agents: Create agents that can autonomously perform tasks and make decisions. Practical Use Cases: Explore building a chat agent with web UI that allows you chatting with documents, web retrieval, vector databases for long term memory and much more ! Whether you are an AI enthusiast, a developer looking to integrate AI into your projects, or a professional aiming to stay ahead in the AI-driven world, " Python LangChain for RAG Beginners" provides the tools and knowledge to elevate your AI skills. Embrace the future of AI and transform your ideas into powerful, intelligent applications with LangChain.
Generative Ai With Langchain
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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-22
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 2023-12-22 with Computers categories.
2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Learn how to leverage LangChain to work around LLMs’ inherent weaknesses Delve into LLMs with LangChain and explore their fundamentals, ethical dimensions, and application challenges Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into reality Book DescriptionChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. It demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis – illustrating the expansive utility of LLMs in real-world applications. Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.What you will learn Create LLM apps with LangChain, like question-answering systems and chatbots Understand transformer models and attention mechanisms Automate data analysis and visualization using pandas and Python Grasp prompt engineering to improve performance Fine-tune LLMs and get to know the tools to unleash their power Deploy LLMs as a service with LangChain and apply evaluation strategies Privately interact with documents using open-source LLMs to prevent data leaks Who this book is for The book is for developers, researchers, and anyone interested in learning more about LangChain. Whether you are a beginner or an experienced developer, this book will serve as a valuable resource if you want to get the most out of LLMs using LangChain. Basic knowledge of Python is a prerequisite, while prior exposure to machine learning will help you follow along more easily.
Chatgpt For Conversational Ai And Chatbots
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Author : Adrian Thompson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-30
Chatgpt For Conversational Ai And Chatbots written by Adrian Thompson 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 2024-07-30 with Computers categories.
Explore ChatGPT technologies to create state-of-the-art chatbots and voice assistants, and prepare to lead the AI revolution Key Features Learn how to leverage ChatGPT to create innovative conversational AI solutions for your organization Harness LangChain and delve into step-by-step LLM application development for conversational AI Gain insights into security, privacy, and the future landscape of large language models and conversational AI Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionChatGPT for Conversational AI and Chatbots is a definitive resource for exploring conversational AI, ChatGPT, and large language models. This book introduces the fundamentals of ChatGPT and conversational AI automation. You’ll explore the application of ChatGPT in conversation design, the use of ChatGPT as a tool to create conversational experiences, and a range of other practical applications. As you progress, you’ll delve into LangChain, a dynamic framework for LLMs, covering topics such as prompt engineering, chatbot memory, using vector stores, and validating responses. Additionally, you’ll learn about creating and using LLM-enabling tools, monitoring and fine tuning, LangChain UI tools such as LangFlow, and the LangChain ecosystem. You’ll also cover popular use cases, such as using ChatGPT in conjunction with your own data. Later, the book focuses on creating a ChatGPT-powered chatbot that can comprehend and respond to queries directly from your unique data sources. The book then guides you through building chatbot UIs with ChatGPT API and some of the tools and best practices available. By the end of this book, you’ll be able to confidently leverage ChatGPT technologies to build conversational AI solutions.What you will learn Gain a solid understanding of ChatGPT and its capabilities and limitations Understand how to use ChatGPT for conversation design Discover how to use advanced LangChain techniques, such as prompting, memory, agents, chains, vector stores, and tools Create a ChatGPT chatbot that can answer questions about your own data Develop a chatbot powered by ChatGPT API Explore the future of conversational AI, LLMs, and ChatGPT alternatives Who this book is for This book is for tech-savvy readers, conversational AI practitioners, engineers, product owners, business analysts, and entrepreneurs wanting to integrate ChatGPT into conversational experiences and explore the possibilities of this game-changing technology. Anyone curious about using internal data with ChatGPT and looking to stay up to date with the developments in large language models will also find this book helpful. Some expertise in coding and standard web design concepts would be useful, along with familiarity with conversational AI terminology, though not essential.
Developing Apps With Gpt 4 And Chatgpt
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Author : Olivier Caelen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-07-10
Developing Apps With Gpt 4 And Chatgpt written by Olivier Caelen 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 2024-07-10 with Computers categories.
This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels. Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions.
A Simple Guide To Retrieval Augmented Generation
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Author : Abhinav Kimothi
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-01
A Simple Guide To Retrieval Augmented Generation written by Abhinav Kimothi 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 2025-07-01 with Computers categories.
Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Augmented Generation—or RAG—enhances an LLM’s available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it’s also easy to understand and implement! In A Simple Guide to Retrieval Augmented Generation you’ll learn: • The components of a RAG system • How to create a RAG knowledge base • The indexing and generation pipeline • Evaluating a RAG system • Advanced RAG strategies • RAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation gives an easy, yet comprehensive, introduction to RAG for AI beginners. You’ll go from basic RAG that uses indexing and generation pipelines, to modular RAG and multimodal data from images, spreadsheets, and more. About the Technology If you want to use a large language model to answer questions about your specific business, you’re out of luck. The LLM probably knows nothing about it and may even make up a response. Retrieval Augmented Generation is an approach that solves this class of problems. The model first retrieves the most relevant pieces of information from your knowledge stores (search index, vector database, or a set of documents) and then generates its answer using the user’s prompt and the retrieved material as context. This avoids hallucination and lets you decide what it says. About the Book A Simple Guide to Retrieval Augmented Generation is a plain-English guide to RAG. The book is easy to follow and packed with realistic Python code examples. It takes you concept-by-concept from your first steps with RAG to advanced approaches, exploring how tools like LangChain and Python libraries make RAG easy. And to make sure you really understand how RAG works, you’ll build a complete system yourself—even if you’re new to AI! What’s Inside • RAG components and applications • Evaluating RAG systems • Tools and frameworks for implementing RAG About the Readers For data scientists, engineers, and technology managers—no prior LLM experience required. Examples use simple, well-annotated Python code. About the Author Abhinav Kimothi is a seasoned data and AI professional. He has spent over 15 years in consulting and leadership roles in data science, machine learning and AI, and currently works as a Director of Data Science at Sigmoid. Table of Contents Part 1 1 LLMs and the need for RAG 2 RAG systems and their design Part 2 3 Indexing pipeline: Creating a knowledge base for RAG 4 Generation pipeline: Generating contextual LLM responses 5 RAG evaluation: Accuracy, relevance, and faithfulness Part 3 6 Progression of RAG systems: Naïve, advanced, and modular RAG 7 Evolving RAGOps stack Part 4 8 Graph, multimodal, agentic, and other RAG variants 9 RAG development framework and further exploration
Generative Ai On Google Cloud With Langchain
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Author : Leonid Kuligin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-12-20
Generative Ai On Google Cloud With Langchain written by Leonid Kuligin 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 2024-12-20 with Computers categories.
Turn challenges into opportunities by mastering advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools Key Features Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using LangChain and Vertex AI Purchase of the print or Kindle book includes a free PDF eBook Book Description The rapid transformation and enterprise adoption of GenAI has created an urgent demand for developers to quickly build and deploy AI applications that deliver real value. Written by three distinguished Google AI engineers and LangChain contributors who have shaped Google Cloud’s integration with LangChain and implemented AI solutions for Fortune 500 companies, this book bridges the gap between concept and implementation, exploring LangChain and Google Cloud’s enterprise-ready tools for scalable AI solutions. You'll start by exploring the fundamentals of large language models (LLMs) and how LangChain simplifies the development of AI workflows by connecting LLMs with external data and services. This book guides you through using essential tools like the Gemini and PaLM 2 APIs, Vertex AI, and Vertex AI Search to create sophisticated, production-ready GenAI applications. You'll also overcome the context limitations of LLMs by mastering advanced techniques like Retrieval-Augmented Generation (RAG) and external memory layers. Through practical patterns and real-world examples, you’ll gain everything you need to harness Google Cloud’s AI ecosystem, reducing the time to market while ensuring enterprise scalability. You’ll have the expertise to build robust GenAI applications that can be tailored to solve real-world business challenges. What you will learn Build enterprise-ready applications with LangChain and Google Cloud Navigate and select the right Google Cloud generative AI tools Apply modern design patterns for generative AI applications Plan and execute proof-of-concepts for enterprise AI solutions Gain hands-on experience with LangChain's and Google Cloud's AI products Implement advanced techniques for text generation and summarization Leverage Vertex AI Search and other tools for scalable AI solutions Who this book is for If you’re an application developer or ML engineer eager to dive into GenAI, this book is for you. Whether you're new to LangChain or Google Cloud, you'll learn how to use these tools to build scalable AI solutions. This book is ideal for developers familiar with Python and machine learning basics looking to apply their skills in GenAI. Professionals who want to explore Google Cloud's powerful suite of enterprise-grade GenAI products and their implementation will also find this book useful.
Langchain For Life Sciences And Healthcare
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Author : Ivan Reznikov
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-07-21
Langchain For Life Sciences And Healthcare written by Ivan Reznikov 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 2025-07-21 with Computers categories.
Feeling overwhelmed by the volume of data in your research? Sifting through massive amounts of data to find useful insights is becoming increasingly difficult in drug discovery, genetics, and healthcare. Enter the era of generative AI with LangChain, whose groundbreaking tools are changing the way life scientists and researchers operate. In this groundbreaking book, Dr. Ivan Reznikov teaches you to harness the power of AI to elevate your research capabilities. Divided into two parts, the first is essential for any specialist, covering the transition from traditional statistics to generative AI, the fundamentals of large language models, and the practical uses of LangChain. The second part is designed for life science professionals who want to create AI applications for biology, chemistry, drug development, and more. By the end, you will: Learn how to easily create and integrate LangChain applications into research Discover how to substantially accelerate your experimental and data analysis operations Explore cutting-edge AI solutions designed to address complex research problems Gain the skills and knowledge to advance your career in AI-enhanced life sciences
Information And Communication Technology
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Author : Wray Buntine
language : en
Publisher: Springer Nature
Release Date : 2025-04-25
Information And Communication Technology written by Wray Buntine and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
This four-volume set, CCIS 2350-2353, constitutes the referred proceedings of the 13th International Symposium on Information and Communication Technology, SOICT 2024, held in Danang, Vietnam in December 2024. The 88 full papers and 68 poster papers presented here were carefully reviewed and selected from 229 submissions. The papers presented in these volumes are organized in the following topical sections: Part I: Multimedia Processing; Operations Research. Part II: AI Applications; Cyber Security. Part III: AI Foundations and Big Data; Human-Computer Interaction. Part IV: Lifelog and Multimedia Retrieval; Generative AI; Software Engineering.