with Google PaLM and Database?
Generate embeddings using Google PaLM. See the docs here
The Google PaLM API is a cutting-edge language model that allows developers to integrate advanced natural language understanding into their applications. On Pipedream, you can harness this power to create serverless workflows that react to various triggers and perform actions based on the insights and outputs from PaLM. Whether it's generating content, summarizing text, or understanding user intent, PaLM's capabilities can be integrated into Pipedream workflows to automate complex tasks involving language.
import { v1beta2 } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";
export default defineComponent({
props: {
google_palm_api: {
type: "app",
app: "google_palm_api",
}
},
async run({ steps, $ }) {
const client = new v1beta2.TextServiceClient({
authClient: new GoogleAuth().fromAPIKey(this.google_palm_api.$auth.palm_api_key),
});
const text = "Repeat after me: one, two,";
const model = "models/text-bison-001";
return await client
.generateText({
model,
prompt: {
text,
},
})
},
})
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;
},
};