Book Image

OpenAI API Cookbook

By : Henry Habib
Book Image

OpenAI API Cookbook

By: Henry Habib

Overview of this book

As artificial intelligence continues to reshape industries with OpenAI at the forefront of AI research, knowing how to create innovative applications such as chatbots, virtual assistants, content generators, and productivity enhancers is a game-changer. This book takes a practical, recipe-based approach to unlocking the power of OpenAI API to build high-performance intelligent applications in diverse industries and seamlessly integrate ChatGPT in your workflows to increase productivity. You’ll begin with the OpenAI API fundamentals, covering setup, authentication, and key parameters, and quickly progress to the different elements of the OpenAI API. Once you’ve learned how to use it effectively and tweak parameters for better results, you’ll follow advanced recipes for enhancing user experience and refining outputs. The book guides your transition from development to live application deployment, setting up the API for public use and application backend. Further, you’ll discover step-by-step recipes for building knowledge-based assistants and multi-model applications tailored to your specific needs. By the end of this book, you’ll have worked through recipes involving various OpenAI API endpoints and built a variety of intelligent applications, ready to apply this experience to building AI-powered solutions of your own.
Table of Contents (10 chapters)

Creating a knowledge-retrieval assistant through the Assistants API

OpenAI has recently released the Assistants API, wherein you can create knowledge-based assistants with minimal coding and complexity. A big advantage is that you can incorporate tools into your assistants that OpenAI has built, such as Code Interpreter and Knowledge Retrieval. These augmentations essentially give your assistant application superpowers. For this recipe, we will focus on the Knowledge Retrieval tool.

Knowledge Retrieval enhances your assistants by incorporating external knowledge (such as the drone manual PDF file from the previous recipe). OpenAI automatically and efficiently segments any uploaded documents while creating indices of embeddings. These embeddings are stored in OpenAI’s database.

Recall in Chapter 4 we discussed how embeddings can be used to compare text similarity and to search for segments of texts. With Knowledge Retrieval, OpenAI does this automatically for you. When...