Pricing

Pay per usage

Vector DB Embedding Batch

Generate text embeddings from OpenAI or Cohere API for vector databases (Pinecone, Weaviate, Qdrant). Supports batch processing, chunking strategies, and configurable output formats.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Kevin Grossi

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Monthly active users

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Vector DB Embedding Batch API

Below, you can find a list of relevant HTTP API endpoints for calling the Vector DB Embedding Batch Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under Integrations in Apify Console. For details, see the API reference.

Run Actor

POST
https://api.apify.com/v2/acts/flamelit_arowana~vector-db-embedding-batch/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST
https://api.apify.com/v2/acts/flamelit_arowana~vector-db-embedding-batch/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET
https://api.apify.com/v2/acts/flamelit_arowana~vector-db-embedding-batch?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Vector DB Embedding Batch API programmatically via the Apify API.

You can choose from:

Vector DB Embedding Batch API in Python

Vector DB Embedding Batch API in JavaScript

Vector DB Embedding Batch API through CLI

Vector DB Embedding Batch OpenAPI definition

You can start Vector DB Embedding Batch with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Vector DB Embedding Batch is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Vector DB Embedding Batch run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.

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