Weaviate is an open-source vector database.
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
Weaviate is a cloud-native, modular, real-time vector search engine that enables scalable, high-performance semantic search. It's built for a wide range of applications, from autocomplete and similar object suggestions to full-text search and automatic categorization. With the Weaviate API, you can index and search through large amounts of data using machine learning models to understand the content and context of the data. On Pipedream, you can leverage this API to create serverless workflows that automate data ingestion, enrichment, and search capabilities, enhancing your apps with intelligent search functions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
weaviate: {
type: "app",
app: "weaviate",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.weaviate.$auth.cluster_url}//v1/schema`,
headers: {
Authorization: `Bearer ${this.weaviate.$auth.api_key}`,
},
})
},
})
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);
},
})