Build a Document Search Assistant with Node and OpenAI's Assistants API

Course details

Learn to build a smart document search assistant within a Node web application using OpenAI's Assistants API. In this course, instructor Guil Hernandez shows you how to get started setting up a development environment and configuring the AI assistant for integration into a Node project using Express. Discover how to implement advanced search capabilities using the File Search tool and vector stores, as well as use the API's Code Interpreter tool, handle user input, generate customized responses, and manage conversation threads. By the end of this course, you'll be equipped with a fully functional AI assistant capable of searching documents.

Learning objectives
Create and configure an AI assistant within a Node.js web application using OpenAI's Assistants API.
Implement advanced document search capabilities within a Node.js and Express application using the File Search tool and vector stores.
Handle user input, generate customized responses, and manage conversation threads and messages in a Node application.
Troubleshoot and debug common issues in your AI-powered Node application.
Perform data analysis and solve complex code and math problems using the API's Code Interpreter tool.
Understand how to integrate basic functionalities and customize your AI assistant to meet specific needs.

Concepts

0. Introduction

01 - Course introduction
02 - What you should know
03 - Introduction to AI assistants
04 - Setting up the development environment

1. Building the Smart Document Search Assistant

05 - Creating your first assistant
06 - Enabling File Search
07 - Creating and running a thread
08 - Uploading and managing documents
09 - Challenge - Uploading and managing documents
10 - Solution - Uploading and managing documents

2. Implementing Core Features

11 - Handling user input and generating responses
12 - Customizing assistant responses
13 - Challenge - Implementing streaming responses
14 - Solution - Implementing streaming responses
15 - Controlling token length and formatting

3. Advanced Features and Debugging

16 - Introduction to the Code Interpreter
17 - Leveraging Code Interpreter for data analysis and iterative problem solving
18 - Integrating function calling

Conclusion

19 - Next steps