Delete Vectors with Pinecone API

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Delete Vectors with the Pinecone API

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Getting Started#

Create a workflow to Delete Vectors with the Pinecone API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Delete Vectors action
1. Connect your Pinecone account
2. Select a Index Name
3. Configure Project ID
4. Select one or more Vector IDs
5. Optional- Configure Namespace
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Delete Vectors with Pinecone API on New Requests from HTTP / Webhook API

HTTP / Webhook + Pinecone

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Delete Vectors with Pinecone API on New Submission (Instant) from Jotform API

Jotform + Pinecone

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Delete Vectors with Pinecone API on New Custom Webhook Events from Stripe API

Stripe + Pinecone

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

Pipedream + Pinecone

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Delete Vectors on Pinecone

Description:Deletes one or more vectors by ID, from a single namespace. [See the docs](https://docs.pinecone.io/reference/delete_post).

Version:0.0.1

Key:pinecone-delete-vectors

View on GitHub

Code#

import app from "../../pinecone.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "pinecone-delete-vectors",
  name: "Delete Vectors",
  description: "Deletes one or more vectors by ID, from a single namespace. [See the docs](https://docs.pinecone.io/reference/delete_post).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    indexName: {
      propDefinition: [
        app,
        "indexName",
      ],
    },
    projectId: {
      propDefinition: [
        app,
        "projectId",
      ],
    },
    ids: {
      type: "string[]",
      label: "Vector IDs",
      description: "The IDs of the vectors. E.g. `[\"vec1\", \"vec2\"]`",
      propDefinition: [
        app,
        "vectorId",
        ({
          indexName, projectId,
        }) => ({
          indexName,
          projectId,
        }),
      ],
    },
    namespace: {
      propDefinition: [
        app,
        "namespace",
      ],
    },
  },
  methods: {
    deleteVector(args = {}) {
      return this.app.create({
        path: "/vectors/delete",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      indexName,
      projectId,
      ids,
      namespace,
    } = this;

    await this.deleteVector({
      projectId,
      indexName,
      data: {
        ids: utils.parseArray(ids),
        namespace,
      },
    });

    step.export("$summary", "Successfully deleted vectors");
  },
};

Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Pinecone	`app`	`app`	This component uses the Pinecone app.
Index Name	`indexName`	`string`	Select a value from the drop down menu.
Project ID	`projectId`	`string`	The ID of the project. You can get the project from the Pinecone URL, for example https://app.pinecone.io/organizations/abcde/projects/us-east-1-aws:611e7f9/indexes, then the Project ID is `611e7f9`
Vector IDs	`ids`	`string[]`	Select a value from the drop down menu.
Namespace	`namespace`	`string`	The namespace to use.

Authentication#

Pinecone uses API keys for authentication. When you connect your Pinecone account, Pipedream securely stores the keys so you can easily authenticate to Pinecone APIs in both code and no-code steps.

To connect your Pinecone account to Pipedream,

Open the Pinecone console and click "API Keys"
Copy the API key and Environment values and paste each below

About 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.

More Ways to Use Pinecone#

Actions#

Fetch Vectors with the Pinecone API

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

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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 docs.

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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 docs.

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Upsert Vector with the Pinecone API

Writes vectors into a namespace. If a new value is upserted for an existing vector ID, it will overwrite the previous value. See the docs.

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