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Generative Ai Apps With Langchain And Python

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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

Generative Ai Apps With Langchain And Python

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Author : Rabi Jay
language : en
Publisher: Springer Nature
Release Date : 2024-12-26

Generative Ai Apps With Langchain And Python written by Rabi Jay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.

Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain’s components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level. Projects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you’ll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries. Developing LangChain-based Generative AI LLM Apps with Python employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you’ll learn-by-be doing, enhancing your career possibilities in today’s rapidly evolving landscape. What You Will Learn Understand different types of LLMs and how to select the right ones for responsible AI. Structure effective prompts. Master LangChain concepts, such as chains, models, memory, and agents. Apply embeddings effectively for search, content comparison, and understanding similarity. Setup and integrate Pinecone vector database for indexing, structuring data, and search. Build Q & A applications for multiple doc formats. Develop multi-step AI workflow apps using LangChain agents. Who This Book Is For Python programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs.

Generative Ai Apps With Langchain And Python

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Author : Rabi Jay
language : en
Publisher: Apress
Release Date : 2024-12-12

Generative Ai Apps With Langchain And Python written by Rabi Jay and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-12 with Computers categories.

Building Conversational Generative Ai Apps With Langchain And Gpt Develop End To End Llm Powered Conversational Ai Apps With Python Langchain Gpt And Google Colab

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Author : Mugesh S.
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-06-04

Building Conversational Generative Ai Apps With Langchain And Gpt Develop End To End Llm Powered Conversational Ai Apps With Python Langchain Gpt And Google Colab written by Mugesh S. 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 2025-06-04 with Computers categories.

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. Book DescriptionConversational 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 you will 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.

Building Generative Ai Apps With Langchain Google Cloud

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Author : Henry Lucas
language : en
Publisher: Independently Published
Release Date : 2025-07-12

Building Generative Ai Apps With Langchain Google Cloud written by Henry Lucas and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.

Unlock the Power of Generative AI with Real-World Projects Using LangChain, Google Cloud & Python Are you ready to move beyond the AI hype and start building practical, high-impact applications with Large Language Models? Building Generative AI Apps with LangChain & Google Cloud is your hands-on guide to mastering modern AI development using tools that professionals rely on: Python, LangChain, and Vertex AI. Whether you're a developer, data scientist, or tech-savvy entrepreneur, this book walks you step-by-step through designing, building, and deploying real-world LLM-powered applications - from intelligent chatbots to advanced document search engines. ✅ What You'll Learn: LangChain from the Ground Up - Understand chains, agents, prompts, memory, and retrieval like a pro. Vertex AI Mastery - Deploy models, manage endpoints, and scale production-ready AI on Google Cloud. Practical Python Workflows - Connect APIs, manage pipelines, and build responsive, scalable backends. Real-World Use Cases - Create apps for customer support, data summarization, semantic search, and more. Best Practices & Deployment - Learn clean code patterns, data handling techniques, and DevOps tips for scalable AI solutions.

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.

Mastering Langchain

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Author : Sanath Raj B Narayan
language : en
Publisher: Springer Nature
Release Date : 2025-09-30

Mastering Langchain written by Sanath Raj B Narayan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Computers categories.

This book provides a comprehensive exploration of LangChain, empowering you to effectively harness large language models (LLMs) for Gen AI applications. It focuses on practical implementation and techniques, making it a valuable resource for learning LangChain. The book starts with foundational topics such as environment setup and building basic chains, then delves into key components such as prompt templates, tool integration, and memory management. You will also explore practical topics such as output parsing, embedding models, and developing chatbots and retrieval-augmented generation (RAG) systems. Additional chapters focus on integrating LangChain with other AI tools and deploying applications while emphasizing best practices for AI ethics and performance. By the time you finish this book, you’ll have the know-how to confidently build Generative AI solutions using LangChain. Whether you're exploring practical applications or curious about the latest trends, this guide gives you the tools and insights to solve real-world AI problems. You’ll be ready to design smart, data-driven applications—and rethink how you approach Generative AI. What You Will Learn Understand the core ideas, architecture, and essential features of the LangChain framework Create advanced LLM-driven workflows and applications that address real-world challenges Develop robust Retrieval-Augmented Generation (RAG) systems using LangChain, vector databases, and proven best practices for retrieving and generating high-quality responses Who This Book Is For Data scientists and AI enthusiasts with basic Python skills who want to use LangChain for advanced development, and Python developers interested in building data-responsive applications with large language models (LLMs)

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.

Building Generative Ai Applications With Langchain And Google Cloud

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Author : David S Richard
language : en
Publisher: Independently Published
Release Date : 2025-09-08

Building Generative Ai Applications With Langchain And Google Cloud written by David S Richard and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-08 with Computers categories.

Building Generative AI Applications with LangChain and Google Cloud: A Hands-On Guide to Vertex AI, RAG, and AI Agents in Python Are you ready to turn the hype of Generative AI into real, production-ready applications? This book is your complete roadmap to mastering LangChain, Google Cloud Vertex AI, and cutting-edge techniques like Retrieval-Augmented Generation (RAG) and AI agents-all through practical, hands-on projects in Python. Inside, you'll discover how to: Build powerful AI applications that go beyond simple prompts Harness the full potential of LangChain to connect large language models with real-world data and APIs Leverage Google Cloud Vertex AI to train, deploy, and scale AI systems with enterprise-grade reliability Implement RAG pipelines to deliver accurate, context-aware responses from custom data Create intelligent AI agents that can reason, plan, and act autonomously Apply best practices in scalability, security, and cost optimization for cloud-based AI solutions This is not just another theory-heavy AI book. Every chapter is designed to give you immediate, practical skills that you can apply in your projects, whether you're a developer, data scientist, or technology leader. By the time you finish, you'll have the confidence and technical know-how to: Build generative AI systems that solve real business problems Integrate cutting-edge AI into existing applications and workflows Future-proof your career with one of the most in-demand skill sets of the decade If you're serious about becoming a leader in Generative AI, this book is your one-stop solution. Don't just watch the AI revolution-be the one building it.

Building Llm Powered Applications

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Author : Valentina Alto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-22

Building Llm Powered Applications written by Valentina Alto 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 2024-05-22 with Computers categories.

Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Embed LLMs into real-world applications Use LangChain to orchestrate LLMs and their components within applications Grasp basic and advanced techniques of prompt engineering Book DescriptionBuilding LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities. The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.What you will learn Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM Use AI orchestrators like LangChain, with Streamlit for the frontend Get familiar with LLM components such as memory, prompts, and tools Learn how to use non-parametric knowledge and vector databases Understand the implications of LFMs for AI research and industry applications Customize your LLMs with fine tuning Learn about the ethical implications of LLM-powered applications Who this book is for Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics. We don’t assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content.

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Generative Ai Apps With Langchain And Python

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