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with Microsoft Sharepoint Online and Google Vertex AI?
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Popular Ways to Connect Microsoft Sharepoint Online with Google Vertex AI#
Popular Microsoft Sharepoint Online and Google Vertex AI Actions#
Create a new item in Microsoft Sharepoint. See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Create a new list in Microsoft Sharepoint. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Download a Microsoft Sharepoint file to the /tmp directory. See the documentation
Overview of Microsoft Sharepoint Online#
The Microsoft SharePoint Online API opens up a world of possibilities for integrating your SharePoint content with other services and automating tasks. With Pipedream, you can harness this API to create powerful workflows that trigger on events in SharePoint, manipulate data, and connect with countless other apps. Create custom automations for document management, team notifications, content moderation, and more, without the need to manage infrastructure.
Connect Microsoft Sharepoint Online#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sharepoint: {
type: "app",
app: "sharepoint",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.sharepoint.$auth.oauth_access_token}`,
},
})
},
})
Overview of Google Vertex AI#
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.
Connect Google Vertex AI#
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}`,
},
})
},
})
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