PostgreSQL is a free and open-source relational database management system emphasizing extensibility and SQL compliance.
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
Calculates an output based on your created flow in Flowise. See the documentation
Finds a row in a table via a custom query. See the documentation
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);
},
})
The FlowiseAI API offers powerful AI-driven capabilities to enhance data with smart predictions and insights. In Pipedream, you can leverage this API to automate tasks, analyze large sets of data, and build intelligent workflows that respond to the AI's output. FlowiseAI can pair with various apps on Pipedream to enrich CRM data, optimize marketing campaigns, or streamline customer support processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
flowiseai: {
type: "app",
app: "flowiseai",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://pipedreamtest.onrender.com/api/v1/prediction/{{your_chatflow_id}}`,
headers: {
Authorization: `Bearer ${this.flowiseai.$auth.api_key}`,
"Content-Type": `application/json`,
},
data: {
question: "{{your_prompt}}"
}
})
},
})