Google Cloud

The Google Cloud Platform, including BigQuery

Integrate the Google Cloud API with the Pinecone API

Setup the Google Cloud API trigger to run a workflow which integrates with the Pinecone API. Pipedream's integration platform allows you to integrate Google Cloud and Pinecone remarkably fast. Free for developers.

Fetch Vectors with Pinecone API on BigQuery - Query Results from Google Cloud API
Google Cloud + Pinecone
 
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Delete Vectors with Pinecone API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Pinecone
 
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Fetch Vectors with Pinecone API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Pinecone
 
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Query IDs with Pinecone API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Pinecone
 
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Update Vector with Pinecone API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Pinecone
 
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New Pub/Sub Messages from the Google Cloud API

Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.

 
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BigQuery - New Row from the Google Cloud API

Emit new events when a new row is added to a table

 
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BigQuery - Query Results from the Google Cloud API

Emit new events with the results of an arbitrary query

 
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Delete Vectors with the Pinecone API

Deletes one or more vectors by ID, from a single namespace. See the documentation.

 
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Fetch Vectors with the Pinecone API

Looks up and returns vectors by ID, from a single namespace.. See the documentation.

 
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Query IDs with the Pinecone API

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.

 
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Bigquery Insert Rows with the Google Cloud API

Inserts rows into a BigQuery table. See the docs and for an example here.

 
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Update Vector with the Pinecone API

Updates vector in a namespace. If a value is included, it will overwrite the previous value. See the documentation.

 
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Overview of Google Cloud

The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

Connect Google Cloud

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module.exports = defineComponent({
  props: {
    google_cloud: {
      type: "app",
      app: "google_cloud",
    }
  },
  async run({steps, $}) {
    // Required workaround to get the @google-cloud/storage package
    // working correctly on Pipedream
    require("@dylburger/umask")()
    
    const { Storage } = require('@google-cloud/storage')
    
    const key = JSON.parse(this.google_cloud.$auth.key_json)
     
    // Creates a client from a Google service account key.
    // See https://cloud.google.com/nodejs/docs/reference/storage/1.6.x/global#ClientConfig
    const storage = new Storage({
      projectId: key.project_id,
      credentials: {
        client_email: key.client_email,
        private_key: key.private_key,
      }
    })
    
    // Uncomment this section and rename for your bucket before running this code
    // const bucketName = 'pipedream-test-bucket';
    
    await storage.createBucket(bucketName)
    console.log(`Bucket ${bucketName} created.`)
  },
})

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

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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}`,
      },
    })
  },
})