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Generative Ai With Langchain

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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.

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.

Generative Ai With Langchain

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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-23

Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applications Key Features Bridge the gap between prototype and production with robust LangGraph agent architectures Apply enterprise-grade practices for testing, observability, and monitoring Build specialized agents for software development and data analysis Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis second edition tackles the biggest challenge facing companies in AI today: moving from prototypes to production. Fully updated to reflect the latest developments in the LangChain ecosystem, it captures how modern AI systems are developed, deployed, and scaled in enterprise environments. This edition places a strong focus on multi-agent architectures, robust LangGraph workflows, and advanced retrieval-augmented generation (RAG) pipelines. You'll explore design patterns for building agentic systems, with practical implementations of multi-agent setups for complex tasks. The book guides you through reasoning techniques such as Tree-of -Thoughts, structured generation, and agent handoffs—complete with error handling examples. Expanded chapters on testing, evaluation, and deployment address the demands of modern LLM applications, showing you how to design secure, compliant AI systems with built-in safeguards and responsible development principles. This edition also expands RAG coverage with guidance on hybrid search, re-ranking, and fact-checking pipelines to enhance output accuracy. Whether you're extending existing workflows or architecting multi-agent systems from scratch, this book provides the technical depth and practical instruction needed to design LLM applications ready for success in production environments.What you will learn Design and implement multi-agent systems using LangGraph Implement testing strategies that identify issues before deployment Deploy observability and monitoring solutions for production environments Build agentic RAG systems with re-ranking capabilities Architect scalable, production-ready AI agents using LangGraph and MCP Work with the latest LLMs and providers like Google Gemini, Anthropic, Mistral, DeepSeek, and OpenAI's o3-mini Design secure, compliant AI systems aligned with modern ethical practices Who this book is for This book is for developers, researchers, and anyone looking to learn more about LangChain and LangGraph. With a strong emphasis on enterprise deployment patterns, it’s especially valuable for teams implementing LLM solutions at scale. While the first edition focused on individual developers, this updated edition expands its reach to support engineering teams and decision-makers working on enterprise-scale LLM strategies. A basic understanding of Python is required, and familiarity with machine learning will help you get the most out of this book.

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

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 With Langchain A Hands On Approach

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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Generative Ai With Langchain A Hands On Approach 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.

In the ever-evolving world of Artificial Intelligence (AI), Generative AI stands out for its ability to create entirely new data, from realistic images to compelling music. This book equips you to harness this power, guiding you through the fundamentals and practical applications with LangChain, a user-friendly framework. Part 1 establishes the groundwork. You'll delve into the core concepts of Generative AI, including Deep Learning and Natural Language Processing (NLP). This foundational knowledge empowers you to understand how AI learns from vast datasets and generates novel outputs. Part 2 dives into the specific techniques behind Generative AI. Explore powerful methods like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), grasping how they create realistic data through innovative training processes. You'll also discover the transformative potential of Transformer-based models, particularly adept at handling text-based tasks. LangChain enters the scene in Part 3. This framework simplifies the development and deployment of Generative AI applications. Learn how LangChain streamlines the process, from selecting the appropriate model to integrating it with real-world data sources and managing its outputs. Practical guidance, including code examples and tutorials, empowers you to build your own generative applications with LangChain. Part 4 showcases the exciting possibilities. Witness how LangChain can be applied to Text Generation tasks like creating summaries or crafting engaging creative content. Explore how it facilitates Image Generation, from photorealistic synthesis to image editing and enhancement. Beyond text and images, the book delves into other applications like Music Generation, Code Generation, and even Drug Discovery, highlighting the vast potential of Generative AI. The final part, The Future of Generative AI, emphasizes the critical aspects of responsible development. You'll explore ethical considerations like bias and potential misuse, while also learning about advancements in research and how LangChain can evolve to meet these challenges. By combining foundational knowledge with practical tools and real-world applications, it empowers you to become an active participant in the Generative AI revolution.

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.

Langchain In Your Pocket

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Author : Mehul Gupta
language : en
Publisher: Mehul Gupta
Release Date : 2024-01-28

Langchain In Your Pocket written by Mehul Gupta and has been published by Mehul Gupta this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-28 with Computers categories.

Unlock the full potential of Generative AI with "LangChain in your Pocket", a hands-on guide that takes you through the robust LangChain framework. This book provides a step-by-step journey into creating powerful applications, from Auto-SQL and NER to custom Agents and Chains, integrating Memory, OutputParsers, RAG for Q&A, Few-Shot Classification, Evaluators, Autonomous AI agents, Advanced Prompt Engineering and many more. NOTE: Drop an email to [email protected] with the transaction receipt for a free PDF version. Key Features: Step-by-step code explanations with expected outputs for each solution. No prerequisites: If you know Python, you're ready to dive in. Practical, hands-on guide with minimal mathematical explanations. Book Description: Since the arrival of ChatGPT in late 2022, the AI landscape has evolved dramatically. "LangChain in your Pocket" invites you to move beyond ChatGPT and explore the versatility of LangChain, a Python/JavaScript framework at the forefront of Large Language Models (LLMs). Whether you're building Classification models, Storyteller, or Internet-enabled GPT, LangChain empowers you to do more. This beginner-friendly introduction covers: Basics of Large Language Models (LLMs) and why LangChain is pivotal. Hello World tutorial for setting up LangChain and creating baseline applications. In-depth chapters on each LangChain module. Advanced problem-solving, including Multi-Document RAG, Hallucinations, NLP chains, and Evaluation for LLMs for supervised and unsupervised ML problems. Dedicated sections for Few-Shot Learning, Advanced Prompt Engineering using ReAct, Autonomous AI agents, and deployment using LangServe. Who should read it? This book is for anyone keen on exploring AI, especially Generative AI. Whether you're a Software Developer, Data Scientist, Student or Content Writer, the focus on diverse use cases in LangChain and GenAI makes it equally valuable to all. Table of Contents Introduction Hello World Different LangChain Modules Models & Prompts Chains Agents OutputParsers & Memory Callbacks RAG Framework & Vector Databases LangChain for NLP problems Handling LLM Hallucinations Evaluating LLMs Advanced Prompt Engineering Autonomous AI agents LangSmith & LangServe Additional Features

Generative Ai With Langchain

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Author : ELIOT V. CARVER
language : en
Publisher: Independently Published
Release Date : 2025-07-22

Generative Ai With Langchain written by ELIOT V. CARVER and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Computers categories.

Generative AI with LangChain: A Hands-On Guide to Crafting Scalable, Intelligent Systems and Advanced AI Agents with Python Unlock the power of Generative AI with this comprehensive guide that takes you through the ins and outs of building intelligent, scalable systems using LangChain and Python. Whether you're an AI enthusiast, developer, or data scientist, this book will equip you with the tools and skills necessary to design and implement advanced AI agents capable of handling complex tasks. What You Will Gain: Deep Understanding of LangChain: Learn how to harness LangChain's capabilities to build AI agents that understand and respond to complex input in real-time. This guide explains how LangChain facilitates the development of scalable and adaptive systems. Hands-On Coding: This guide isn't just theoretical. You'll dive into practical coding examples, making the learning experience interactive and engaging. By the end of the book, you'll be able to build your own AI-driven systems and agents with Python. Building Scalable AI Systems: Learn the art of scaling AI systems, ensuring they can handle increasing loads without sacrificing performance. Understand how to integrate LangChain into large-scale environments and cloud systems. Advanced AI Agents: Develop AI agents that can take on a wide range of tasks, from automating workflows to managing large datasets. Master key concepts like multi-agent systems, task delegation, and context-awareness, empowering your agents to make intelligent decisions autonomously. Practical Applications: Apply what you learn to real-world scenarios, from building AI assistants to developing intelligent recommendation systems and automated chatbots. Python Expertise: The book provides clear, detailed explanations of Python code snippets, so even if you're new to Python or AI, you'll be able to follow along and apply the concepts. Integration with Other Tools and APIs: Discover how to extend the capabilities of your AI agents by integrating with external tools, APIs, and databases, allowing you to create intelligent systems that can interact with the world around them. Key Features: Step-by-step guidance on using LangChain to develop AI systems. In-depth coverage of advanced techniques like reinforcement learning and multi-agent collaboration. Code examples and exercises for hands-on practice. Best practices for ensuring the scalability and robustness of AI systems. Why This Book is Essential: This guide is ideal for developers and AI enthusiasts looking to create intelligent, scalable systems that can perform complex tasks. The hands-on approach ensures that you not only understand the theory but can also apply it to build real-world applications. Whether you're interested in automation, advanced AI agents, or large-scale AI systems, this book will provide you with everything you need to succeed. Call to Action: Ready to build the next generation of intelligent AI systems? Start your journey with Generative AI with LangChain and discover the tools and techniques to craft powerful, scalable solutions today. Don't just learn about AI-master it. Get your copy now and start building intelligent agents with Python and LangChain!

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Generative Ai With Langchain

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