Search and discovery with AI.
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
Generates a model's response for the given chat conversation. See the documentation
The Perplexity API offers advanced natural language processing capabilities, enabling users to generate answers, summaries, and insights from texts. Leveraging this API on Pipedream allows for the automation of content analysis, intelligent alert systems, and dynamic data enrichment, integrating seamlessly with various data sources and services for real-time processing.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
perplexity: {
type: "app",
app: "perplexity",
}
},
async run({steps, $}) {
const data = {
"model": "mistral-7b-instruct",
"messages": [
{
"role": "system",
"content": "Be precise and concise."
},
{
"role": "user",
"content": "Can you tell me about the integration platform called Pipedream?"
}
]
}
return await axios($, {
method: "post",
url: `https://api.perplexity.ai/chat/completions`,
headers: {
Authorization: `Bearer ${this.perplexity.$auth.api_key}`,
"accept": `application/json`,
},
data,
})
},
})
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);
},
});