Upsert Vector with Pinecone API

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Upsert Vector with the Pinecone API

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Getting Started#

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

Configure the Upsert Vector action
1. Connect your Pinecone account
2. Select a Index Name
3. Configure Vector ID
4. Configure Vector Values
5. Optional- Configure Vector Metadata
6. 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#

Upsert Vector with Pinecone API on New Requests from HTTP / Webhook API

HTTP / Webhook + Pinecone

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Upsert Vector with Pinecone API on New Submission from Typeform API

Typeform + Pinecone

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Upsert Vector with Pinecone API on New Submission (Instant) from Jotform API

Jotform + Pinecone

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Upsert Vector with Pinecone API on New Custom Webhook Events from Stripe API

Stripe + Pinecone

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Upsert Vector 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.

Upsert Vector on Pinecone

Description:Writes vectors into a namespace. If a new value is upserted for an existing vector ID, it will overwrite the previous value. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/upsert).

Version:0.0.2

Key:pinecone-upsert-vector

View on GitHub

Code#

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

export default {
  key: "pinecone-upsert-vector",
  name: "Upsert Vector",
  description: "Writes vectors into a namespace. If a new value is upserted for an existing vector ID, it will overwrite the previous value. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/upsert).",
  type: "action",
  version: "0.0.2",
  props: {
    app,
    indexName: {
      propDefinition: [
        app,
        "indexName",
      ],
    },
    id: {
      propDefinition: [
        app,
        "vectorId",
      ],
    },
    values: {
      optional: false,
      propDefinition: [
        app,
        "vectorValues",
      ],
    },
    metadata: {
      propDefinition: [
        app,
        "vectorMetadata",
      ],
    },
    namespace: {
      propDefinition: [
        app,
        "namespace",
      ],
    },
  },
  methods: {
    upsertVector(args = {}) {
      return this.app.post({
        path: "/vectors/upsert",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      upsertVector,
      indexName,
      id,
      values,
      metadata,
      namespace,
    } = this;

    const response = await upsertVector({
      step,
      indexName,
      data: {
        vectors: [
          {
            id,
            values: utils.parseArray(values),
            metadata: utils.parse(metadata),
          },
        ],
        namespace,
      },
    });

    step.export("$summary", `Successfully upserted ${response.upsertedCount} vector(s).`);

    return response;
  },
};

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.
Vector ID	`id`	`string`	The ID of the vector.
Vector Values	`values`	`string[]`	The values of the vector.
Vector Metadata	`metadata`	`object`	The metadata of the vector. E.g. `{"color": "red"}`
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#

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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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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