Summary
The tutorial explores the setup of an AI agent system for interacting with a database, focusing on a chat database system tailored for event information in Sydney. It covers creating the database with event data, populating it with dummy entries, and connecting an AI tool to filter and retrieve relevant information. By following the tutorial, viewers can understand how to build a functional chatbot that retrieves event details based on user queries efficiently.
Setting Up AI Agent System
In this tutorial, the process of setting up an AI agent system to interact with a database is explained. The system involves creating a basic database using event data and developing an AI agent to query the database for information based on user queries.
Building a Chat Database System
The tutorial delves into building a chat database system pioneered by a member of the community. The system allows users to interact with a chatbot that retrieves information from the database based on queries related to events in Sydney.
Populating the Database with Dummy Data
The process of populating the database with dummy data through Superbase and SQL editor is demonstrated. This step involves adding fake event entries to the database for testing and demo purposes.
Connecting AI Tool to Database
The tutorial explains how to connect a relevance AI tool to the database query tool. This connection enables the AI agent to filter and retrieve the most relevant events based on user queries effectively.
Get your own AI Agent Today
Thousands of businesses worldwide are using Chaindesk Generative
AI platform.
Don't get left behind - start building your
own custom AI chatbot now!