with Google Vertex AI and LlamaIndex?
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}`,
},
})
},
})
import { axios } from "@pipedream/platform";
import FormData from "form-data";
import request from "request";
export default defineComponent({
props: {
llamaindex: {
type: "app",
app: "llamaindex",
}
},
async run({steps, $}) {
const data = new FormData();
data.append("file", request("https://www.learningcontainer.com/wp-content/uploads/2019/09/sample-pdf-file.pdf"));
return await axios($, {
method: "POST",
url: `${this.llamaindex.$auth.url}/api/parsing/upload`,
headers: {
"Content-Type": `multipart/form-data`,
Authorization: `Bearer ${this.llamaindex.$auth.api_key}`,
},
data,
})
},
})