Idézet: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.

Through clear examples and practical walkthroughs, you'll create a Gen AI-powered chatbot application that includes

· A Web-Based Chat Interface with Flask - An interactive user interface that allows users to engage with the chatbot through natural language.

· A LangChain-Powered Conversational Engine - Harnessing LangChain's capabilities to manage conversation history, memory, and agent tools.

· Integration with the OpenAI API - Connecting your app with OpenAI's powerful models to generate intelligent and contextual responses.

· A Flask REST API Backend - A modular RESTful architecture to handle order-related operations including creation, updates, cancellations, and status tracking.

· A MySQL 8 Database - A reliable relational database backend for storing user data, order information, and conversation logs.

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.

Idézet:? Building A Data Driven Chatbot RAG Using Python 3 LangChain OpenAI And MySQL 8 X.pdf (28.3 MB)