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with Pinecone and Airbyte?
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Popular Pinecone and Airbyte Actions#
Deletes one or more vectors by ID, from a single namespace. See the documentation
Looks up and returns vectors by ID, from a single namespace.. See the documentation
Searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores. See the documentation
Overview of Pinecone#
The Pinecone API enables you to work with vector databases, which are essential for building and scaling applications with AI features like recommendation systems, image recognition, and natural language processing. On Pipedream, you can create serverless workflows integrating Pinecone with other apps, automate data ingestion, query vector databases in response to events, and orchestrate complex data processing pipelines that leverage Pinecone's similarity search.
Connect Pinecone#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinecone: {
type: "app",
app: "pinecone",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinecone.io/collections`,
headers: {
"Api-Key": `${this.pinecone.$auth.api_key}`,
},
})
},
})
Overview of Airbyte#
The Airbyte API allows for creating and managing data integration pipelines between various sources and destinations, automating data synchronization tasks, and monitoring the status of those pipelines. On Pipedream, you can leverage the Airbyte API to build intricate workflows that react to data events, manipulate and store data, and connect to other services to create rich, automated data pipelines.
Connect Airbyte#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
https_airbyte_com: {
type: "app",
app: "https_airbyte_com",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.https_airbyte_com.$auth.url}/v1/connections`,
headers: {
Authorization: `Bearer ${this.https_airbyte_com.$auth.api_key}`,
},
})
},
})
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