with Google Gemini and Microsoft SQL Server?
Triggers when a new column is added to a table. See the documentation
Triggers when a new row is added or an existing row is updated. See the documentation
Generates content from text input using the Google Gemini API. See the documentation
Executes a SQL query and returns the results. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})
With the Microsoft SQL Server API on Pipedream, you can automate your database operations and create powerful integrations. This API allows you to execute queries, manage databases, and trigger actions based on data changes. Implementing workflows that react to database events, manipulate data, or synchronize SQL Server data with other services, becomes effortless with Pipedream's serverless platform.
import sql from "mssql"
export default defineComponent({
props: {
microsoft_sql_server: {
type: "app",
app: "microsoft_sql_server",
}
},
async run({steps, $}) {
const { host, username, password, port, database, encrypt,trustServerCertificate } = this.microsoft_sql_server.$auth
const conn_str = `Server=${host},${port};Database=${database};User Id=${username};Password=${password};Encrypt=${encrypt};TrustServerCertificate=${trustServerCertificate}`;
await sql.connect(conn_str);
return await sql.query`SELECT GETDATE()`
},
})