Building a Data Driven Chatbot (RAG) using Python by Binit Datta(.PDF)
File Size: 28.3 MB
Building a Data Driven Chatbot (RAG) using Python 3 LangChain, OpenAI and MySQL 8.x: Using GenAI LangChain to Solve Real World Use Cases by Binit Datta
Requirements: .PDF reader, 28.3 MB | True PDF
Overview: Enterprise have massive amount of data locked in their databases. This Book will show one of the most popular ways to unlock them and use them in modern GenAI ChatBots. The rapid advancements in Generative AI (Gen AI) are reshaping how modern applications are designed, built, and deployed. As AI-driven systems become a cornerstone of contemporary software, it is increasingly important for developers to learn how to effectively integrate Gen AI capabilities into production-ready solutions. This book is a hands-on guide to developing intelligent, conversational applications powered by Python 3.12. You’ll learn how to build a full-stack chatbot system using Flask, LangChain, and the OpenAI API, supported by a robust Flask REST API and a MySQL 8 database for persistent storage. Whether you’re a seasoned developer or just beginning your AI journey, this book equips you with the skills to build scalable, AI-driven chatbot applications from the ground up using modern Python tools and frameworks.
Genre: Non-Fiction > Tech & Devices
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