LlamaIndex, Data Framework for LLM Applications.
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Finds a row in a table via a custom query. See the documentation
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,
})
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})