Search Rebuilt for AI. The Exa API retrieves the best content on the web using embeddings-based search.
Find similar links to the link provided. See the documentation](https://docs.metaphor.systems/reference/findsimilar)
Add or update a single record in your Pipedream Data Store.
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.
Add or update multiple records to your Pipedream Data Store.
Perform a search with a Metaphor prompt-engineered query and retrieve a list of relevant results. See the documentation
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,
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})