← Pinecone

Fetch Vectors with Pinecone API

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Fetch Vectors with the Pinecone API
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Getting Started

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

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

Integrations

Fetch Vectors with Pinecone API on New Requests from HTTP / Webhook API
HTTP / Webhook + Pinecone
 
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Fetch Vectors with Pinecone API on New Submission from Typeform API
Typeform + Pinecone
 
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Fetch Vectors with Pinecone API on New Submission (Instant) from Jotform API
Jotform + Pinecone
 
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Fetch Vectors with Pinecone API on New Custom Webhook Events from Stripe API
Stripe + Pinecone
 
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Fetch 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.

Fetch Vectors on Pinecone
Description:Looks up and returns vectors by ID, from a single namespace.. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/fetch).
Version:0.0.2
Key:pinecone-fetch-vectors

Code

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

export default {
  key: "pinecone-fetch-vectors",
  name: "Fetch Vectors",
  description: "Looks up and returns vectors by ID, from a single namespace.. [See the documentation](https://docs.pinecone.io/reference/api/data-plane/fetch).",
  type: "action",
  version: "0.0.2",
  props: {
    app,
    indexName: {
      propDefinition: [
        app,
        "indexName",
      ],
    },
    namespace: {
      propDefinition: [
        app,
        "namespace",
      ],
    },
    ids: {
      type: "string[]",
      label: "Vector IDs",
      description: "The IDs of the vectors. E.g. `[\"vec1\", \"vec2\"]`",
      propDefinition: [
        app,
        "vectorId",
      ],
    },
  },
  methods: {
    fetchVectors(args = {}) {
      return this.app.makeRequest({
        path: "/vectors/fetch",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      fetchVectors,
      indexName,
      ids,
      namespace,
    } = this;

    const response = await fetchVectors({
      step,
      indexName,
      params: {
        ids: utils.parseArray(ids),
        namespace,
      },
    });

    step.export("$summary", `Successfully fetched \`${Object.keys(response.vectors).length}\` 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.
LabelPropTypeDescription
PineconeappappThis component uses the Pinecone app.
Index NameindexNamestringSelect a value from the drop down menu.
Namespacenamespacestring

The namespace to use.

Vector IDsidsstring[]

The IDs of the vectors. E.g. ["vec1", "vec2"]

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,

  1. Open the Pinecone console and click "API Keys"
  2. 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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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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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 documentation.

 
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