Steamship Plugins (opens in a new tab) perform specific tasks related to AI.
Steamship supports the following types of plugins:
Importers pull raw data from common external sources into a File.
Examples: A YouTube video importer imports video content given a URL, A Notion importer imports a document from a Notion space.
Examples: Whisper speech to text turns an audio file into a text transcript, a PDF extractor could pull the text chunks and images from a PDF document.
Examples: A text classifier would attach a classification
Tag to a
Block, an image object recognizer would add
Tags to a
Block that identified known objects.
Generators create new content from existing content.
Examples: GPT4 creates more text based on the existing text in a conversation, DALL-E creates an image based on a description.
Embedders convert content into a vector representation. This is primarily used in combination with Steamship’s built in :ref:.
Examples: Use OpenAI to embed sentences into vectors for search; embed images into vectors for search