Customer Communication: Customize ChatGPT to meet the unique needs of your business.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
Perform a semantic search within chatbot data See the documentation
The KodaGPT API offers a versatile platform for integrating advanced language processing into your applications, enabling the automation of text-based tasks and enhancing user interactions through natural language understanding. With its capabilities, developers can create dynamic content, automate responses, and analyze text on-the-fly. Leveraging Pipedream's robust integration platform, users can connect KodaGPT with other services to design complex workflows that simplify operations, improve efficiency, and deliver personalized experiences.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kodagpt: {
type: "app",
app: "kodagpt",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://kodagpt.com.br/api/v1/embed/${this.kodagpt.$auth.chatbot_id}/What is Pipedream?`,
headers: {
"Content-Type": `application/json`,
"API_KEY": `${this.kodagpt.$auth.api_key}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});