with Database and Google Vertex AI?
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
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Groups a provided text into predefined categories. See the documentation
The Database API on Pipedream allows users to execute SQL commands directly within workflows, enabling rich and dynamic data manipulation and storage. It supports PostgreSQL, MySQL, and SQLite, making it a versatile option for managing data across various database systems. With this API, users can perform tasks such as data insertion, querying, updates, and deletions, directly within their automations, facilitating real-time data processing and integration across multiple platforms.
import postgresql from "@pipedream/postgresql";
export default {
props: {
postgresql,
sql: {
type: "sql",
auth: {
app: "postgresql",
},
label: "PostreSQL Query",
},
},
async run({ $ }) {
const args = this.postgresql.executeQueryAdapter(this.sql);
const data = await this.postgresql.executeQuery(args);
return data;
},
};
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})