Fetch Vectors with Pinecone API on New Field from Airtable API

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Trigger workflow on

New Field from the Airtable API

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Fetch Vectors with the Pinecone API

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Getting Started#

This integration creates a workflow with a Airtable trigger and Pinecone action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Field trigger
1. Connect your Airtable account
2. Configure timer
3. Select a Base
4. Select a Table
Configure the Fetch Vectors action
1. Connect your Pinecone account
2. Select a Index Name
3. Optional- Configure Namespace
4. Configure Vector IDs
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New Field on Airtable

Description:Emit new event for each new field created in a table

Version:0.0.6

Key:airtable_oauth-new-field

View on GitHub

Airtable Overview#

Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.

Trigger Code#

import common from "../common/common.mjs";

export default {
  name: "New Field",
  description: "Emit new event for each new field created in a table",
  key: "airtable_oauth-new-field",
  version: "0.0.6",
  type: "source",
  props: {
    ...common.props,
    tableId: {
      propDefinition: [
        common.props.airtable,
        "tableId",
        ({ baseId }) => ({
          baseId,
        }),
      ],
      description: "The table ID to watch for changes.",
    },
  },
  methods: {
    _getFieldIds() {
      return this.db.get("fieldIds") || [];
    },
    _setFieldIds(fieldIds) {
      this.db.set("fieldIds", fieldIds);
    },
  },
  async run() {
    const fieldIds = this._getFieldIds();

    const { tables } = await this.airtable.listTables({
      baseId: this.baseId,
    });
    const { fields } = tables.find(({ id }) => id === this.tableId);

    for (const field of fields) {
      if (fieldIds.includes(field.id)) {
        continue;
      }
      fieldIds.push(field.id);
      this.$emit(field, {
        id: field.id,
        summary: field.name,
        ts: Date.now(),
      });
    }

    this._setFieldIds(fieldIds);
  },
};

Trigger 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
Airtable	`airtable`	`app`	This component uses the Airtable app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Base	`baseId`	`string`	Select a value from the drop down menu.
Table	`tableId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

Airtable uses OAuth authentication. When you connect your Airtable account, Pipedream will open a popup window where you can sign into Airtable and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Airtable API.

Pipedream requests the following authorization scopes when you connect your account:

data.records:readdata.records:writedata.recordComments:readdata.recordComments:writeschema.bases:readschema.bases:writewebhook:manageuser.email:read

About Airtable#

Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.

Action#

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

View on GitHub

Pinecone Overview#

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.

Action 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;
  },
};

Action Configuration#

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

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.
Namespace	`namespace`	`string`	The namespace to use.
Vector IDs	`ids`	`string[]`	The IDs of the vectors. E.g. `["vec1", "vec2"]`

Action 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 Connect Pinecone + Airtable#

Other Popular Integrations#

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Pipedream makes it easy to connect APIs for Pinecone, Airtable and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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