with Exa and Data Stores?
Generates LLM-powered responses to queries, informed by Exa search results with citations. Handles both factual queries requiring direct answers and open-ended questions needing detailed summaries. See the documentation
Add or update a single record in your Pipedream Data Store
Identifies and retrieves web pages similar to a provided URL with optional content extraction. See the documentation
Add or update multiple records to your Pipedream Data Store
Retrieves full page contents, summaries, and metadata for a list of URLs. Uses cached results with optional live crawling fallback. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
exa: {
type: "app",
app: "exa",
}
},
async run({steps, $}) {
const data = {
"query": `Tell me about Pipedream — what makes it great?`,
}
return await axios($, {
method: "post",
url: `https://api.exa.ai/search`,
headers: {
"x-api-key": `${this.exa.$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")
},
})