Integrate the Pipedream API with the Pinecone API

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

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Popular Ways to Connect Pipedream with Pinecone#

Delete Vectors with Pinecone API on New Scheduled Tasks from Pipedream API

Pipedream + Pinecone

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Fetch Vectors with Pinecone API on New Scheduled Tasks from Pipedream API

Pipedream + Pinecone

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Query IDs with Pinecone API on New Scheduled Tasks from Pipedream API

Pipedream + Pinecone

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Update Vector with Pinecone API on New Scheduled Tasks from Pipedream API

Pipedream + Pinecone

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Upsert Vector with Pinecone API on New Scheduled Tasks from Pipedream API

Pipedream + Pinecone

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Popular Pipedream and Pinecone Triggers#

New Scheduled Tasks from the Pipedream API

Exposes an HTTP API for scheduling messages to be emitted at a future time

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New Upcoming Event Alert from the Pipedream API

Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.

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Card Due Date Reminder from the Pipedream API

Emit new event at a specified time before a card is due.

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New Upcoming Calendar Event from the Pipedream API

Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart property of the event to determine the time it should emit.

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Popular Pipedream and Pinecone Actions#

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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Create a Subscription with the Pipedream API

Create a Subscription. See Doc

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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 Pipedream#

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

An application that can extract data from a database, transform it, and then
load it into another database.
An application that can monitor a data source for changes, and then trigger a
workflow in response to those changes.
An application that can poll an API for new data, and then process that data
in real-time.

Connect Pipedream#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pipedream: {
      type: "app",
      app: "pipedream",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pipedream.com/v1/users/me`,
      headers: {
        Authorization: `Bearer ${this.pipedream.$auth.api_key}`,
      },
    })
  },
})

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}`,
      },
    })
  },
})

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