A data warehouse built for the cloud
Find similar links to the link provided. See the documentation](https://docs.metaphor.systems/reference/findsimilar)
Retrieve contents of documents based on a list of document IDs. See the documentation. It is used to instantly
get content for documents, given the IDs of the documents. We currently support extracts - the first 1000 tokens (~750 words) of parsed HTML for a site. Note that each piece of content retrieved costs 1 request. Also note that instant
is a little bit of a lie if you are using keyword search, in which case contents might take a few seconds to retrieve.
Perform a search with a Metaphor prompt-engineered query and retrieve a list of relevant results. See the documentation
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
import snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});
The Exa (Formerly Metaphor) API enables you to enrich your applications with machine learning-powered insights and data processing capabilities. With Exa, you can perform advanced data analysis, extract meaningful patterns, and automate decision-making processes within your projects. By integrating this API with Pipedream, you can create seamless workflows that leverage these intelligent features alongside other services to streamline your operations, enhance data intelligence, and drive innovation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metaphor: {
type: "app",
app: "metaphor",
}
},
async run({steps, $}) {
const data = {
"query": `test`,
}
return await axios($, {
method: "post",
url: `https://api.metaphor.systems/search`,
headers: {
"accept": `application/json`,
"Content-Type": `application/json`,
"x-api-key": `${this.metaphor.$auth.api_key}`,
},
data,
})
},
})