with Google Vertex AI and n8n.io?
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
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}`,
},
})
},
})
The n8n.io API provides a platform for automating workflows in a node-based structure that allows for integrations across various services and apps. Leveraging this API within Pipedream enables you to orchestrate complex operations, connect disparate systems, and trigger actions conditionally, transforming and passing data between services without writing extensive code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
n8n_io: {
type: "app",
app: "n8n_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.n8n_io.$auth.domain}.app.n8n.cloud/api/v1/workflows`,
headers: {
"Accept": `application/json`,
"X-N8N-API-KEY": `${this.n8n_io.$auth.api_key}`,
},
})
},
})