Create Embeddings with OpenAI (ChatGPT) API on New Bookmark from Raindrop API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Raindrop and 2,400+ other apps remarkably fast.

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New Bookmark from the Raindrop API

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Create Embeddings with the OpenAI (ChatGPT) API

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Getting Started#

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

Select this integration
Configure the New Bookmark trigger
1. Connect your Raindrop account
2. Configure timer
3. Select a Collection ID
Configure the Create Embeddings action
1. Connect your OpenAI (ChatGPT) account
2. Select a Model
3. Configure Input
4. Optional- Configure User
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 Bookmark on Raindrop

Description:Emit new event when a bookmark is added

Version:0.0.6

Key:raindrop-new-bookmark

View on GitHub

Raindrop Overview#

Raindrop.io is a versatile bookmarking service that lets users save, organize, and share web content. With its API, you can automate the management of bookmarks, collections, and tags, thus streamlining the way you handle internet resources. Automating these tasks with the Raindrop API on Pipedream opens the door to personalized content curation, enhanced collaboration, and efficient information retrieval workflows. Think syncing saved articles across platforms, generating reports on saved links, or even triggering actions based on new content.

Trigger Code#

import raindrop from "../../raindrop.app.mjs";
import constants from "../../common/constants.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "raindrop-new-bookmark",
  name: "New Bookmark",
  description: "Emit new event when a bookmark is added",
  type: "source",
  version: "0.0.6",
  dedupe: "unique",
  props: {
    raindrop,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    collectionId: {
      propDefinition: [
        raindrop,
        "collectionId",
      ],
    },
  },
  methods: {
    _getPage() {
      return this.db.get("page") ?? 0;
    },
    _setPage(page) {
      this.db.set("page", page);
    },
    getMetadata(bookmark) {
      return {
        id: bookmark._id,
        summary: `New Raindrop: ${bookmark.title}`,
        ts: Date.parse(bookmark.created),
      };
    },
    emitEvents(bookmarks) {
      bookmarks.forEach((bookmark) => {
        const meta = this.getMetadata(bookmark);
        this.$emit(bookmark, meta);
      });
    },
  },
  async run() {
    let page = this._getPage();
    const createdDate = `created:>${new Date().toISOString()
      .slice(0, 7)}`;

    while (true) {
      const { items: bookmarks } = await this.raindrop.getRaindrops(this, this.collectionId, {
        page,
        perpage: constants.DEFAULT_PER_PAGE,
        search: createdDate,
      });
      this.emitEvents(bookmarks);

      if (bookmarks.length < constants.DEFAULT_PER_PAGE) break;

      page++;
    }

    this._setPage(page);
  },
};

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
Raindrop	`raindrop`	`app`	This component uses the Raindrop app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Collection ID	`collectionId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

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

About Raindrop#

Raindrop.io is the best place to keep all your favorite books, songs, articles or whatever else you come across while browsing.

Action#

Create Embeddings on OpenAI (ChatGPT)

Description:Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)

Version:0.0.14

Key:openai-create-embeddings

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code#

import { ConfigurationError } from "@pipedream/platform";
import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";

export default {
  name: "Create Embeddings",
  version: "0.0.14",
  key: "openai-create-embeddings",
  description: "Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "embeddingsModelId",
      ],
    },
    input: {
      label: "Input",
      description: "Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.",
      type: "string[]",
    },
    user: common.props.user,
  },
  async run({ $ }) {
    // Confirm no element is more than 8192 tokens in length
    for (const [
      i,
      element,
    ] of this.input.entries()) {
      if (element.length > 8192) {
        throw new ConfigurationError(`Element #${i} is more than 8192 tokens in length. Each input must not exceed 8192 tokens in length.`);
      }
    }

    const response = await this.openai.createEmbeddings({
      $,
      data: {
        model: this.modelId,
        input: this.input,
      },
    });

    if (response) {
      $.export("$summary", "Successfully created embeddings");
    }

    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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Input	`input`	`string[]`	Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.
User	`user`	`string`	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.

Create Embeddings with OpenAI (ChatGPT) API on New Bookmark from Raindrop API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Raindrop 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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