Pinecone

Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

Integrate the Pinecone API with the Google Sheets API

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

Delete Vectors with Pinecone API on New Comment (Instant) from Google Sheets API
Google Sheets + Pinecone
 
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Delete Vectors with Pinecone API on New Row Added (Instant) from Google Sheets API
Google Sheets + Pinecone
 
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Delete Vectors with Pinecone API on New Updates (Instant) from Google Sheets API
Google Sheets + Pinecone
 
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Delete Vectors with Pinecone API on New Worksheet (Instant) from Google Sheets API
Google Sheets + Pinecone
 
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Fetch Vectors with Pinecone API on New Comment (Instant) from Google Sheets API
Google Sheets + Pinecone
 
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New Comment (Instant) from the Google Sheets API

Emit new event each time a comment is added to a spreadsheet.

 
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New Row Added (Instant) from the Google Sheets API

Emit new event each time a row or rows are added to the bottom of a spreadsheet.

 
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New Updates (Instant) from the Google Sheets API

Emit new event each time a row or cell is updated in a spreadsheet.

 
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New Worksheet (Instant) from the Google Sheets API

Emit new event each time a new worksheet is created in a spreadsheet.

 
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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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Add Single Row with the Google Sheets API

Add a single row of data to Google Sheets. 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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Add Multiple Rows with the Google Sheets API

Add multiple rows of data to a Google Sheet. 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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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}`,
      },
    })
  },
})

Overview of Google Sheets

The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.

Connect Google Sheets

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_sheets: {
      type: "app",
      app: "google_sheets",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_sheets.$auth.oauth_access_token}`,
      },
    })
  },
})
Using Event Sources and Workflows: Analyze Twitter Sentiment in Real-Time and Save to Google Sheets
Using Event Sources and Workflows: Analyze Twitter Sentiment in Real-Time and Save to Google Sheets
Learn how you can use Pipedream event sources and serverless workflows to listen for new Twitter mentions, analyze the sentiment of each Tweet using the npm sentiment package (https://www.npmjs.com/package/sentiment), and then save that data to Google Sheets in real-time.
Save Zoom Cloud Recordings to Google Drive and Share on Slack
Save Zoom Cloud Recordings to Google Drive and Share on Slack
Save Zoom Cloud Recordings to Google Drive and Share on Slack.
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Entering Data in Params Forms
Learn about the new model to enter expressions and reference previous step exports in params forms.

Community Posts

Building a Google Sheets Twitter Bot with Pipedream
Building a Google Sheets Twitter Bot with Pipedream
This is something that's been kicking around my head for a week or so and today I thought I'd try it. It ended up taking about 20 minutes total and 10 lines of code, of which 5 are a function I copied and pasted. While what I built is kind of trivial, I'm blown away by how much was done by built-in functions with Pipedream and how little work I had to do myself. In fact, most of my time was spent in setting stuff up outside of Pipedream itself. Alright, so what did I build?
Building a Twitter Scheduling System with Pipedream and Google Sheets
Building a Twitter Scheduling System with Pipedream and Google Sheets
A few months ago, I blogged about how I used Pipedream and Google Sheets to create a Twitter bot. The idea was simple - read a sheet - select a random row - and use that as the source of a new Tweet. I was thinking about this recently and how useful Google Sheets can be as a "light weight CMS" and figured out another interesting use case - Twitter scheduling.
Logging user credit changes using Google Sheets and Pipedream
Logging user credit changes using Google Sheets and Pipedream
One of the nice features SuperSaaS is a credit system which allows end-users to buy credit once and then easily pay for appointments without needing to go through the checkout each time. There are multiple things that can affect a credit balance. Credit purchases and new appointment, obviously, but also refunds due to canceled appointments, and manual credit adjustments by a superuser. This post is a step-by-step tutorial for setting up the logging of user credit information to a Google Sheet using Pipedream, a powerful API integration service.