What do you think?
Rate this book
Building RAG Chatbots With Langchain In Python: Build AI LLM Based Chatbots With Interface Using Streamlit
"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
Deep Dive into 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 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 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 Seamlessly blend conceptual AI frameworks with tangible implementation strategies, enhancing both your theoretical understanding and practical skills.
Hands-on Dive into practical examples, exercises, and code snippets that reinforce learning and facilitate a thorough understanding of complex topics.
Innovation in 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
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 AuthorAdnan 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.
Key
Deep Dive into 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 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 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 Seamlessly blend conceptual AI frameworks with tangible implementation strategies, enhancing both your theoretical understanding and practical skills.
Hands-on Dive into practical examples, exercises, and code snippets that reinforce learning and facilitate a thorough understanding of complex topics.
Innovation in 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
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 AuthorAdnan 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.
47 pages, Kindle Edition
Published September 28, 2024
1 person is currently reading
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.