OpenAI Embeddings API

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. OpenAI's text embeddings measure the relatedness of text strings. Embeddings are commonly used for search, clustering, recommendations, anomaly detection, diversity measurement, and classification. An embedding is a vector (list of floating point numbers) where the distance between two vectors measures their relatedness. Contact Support: Name: OpenAI Support Email: [email protected]

• AI
• Artificial Intelligence
• Large Language Models
• T1
• Postman Collection

Overview

OpenAI Embeddings API is a Postman Collection published by OpenAI on the APIs.io network.

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. OpenAI’s text embeddings measure the relatedness of text strings. Embeddings are commonly used for search, clustering, recommendations, anomaly detection, diversity measurement, and classification. An embedding is a vector (list of floating point numbers) where the distance between two vectors measures their relatedness. Contact Support: Name: OpenAI Support Email: [email protected]

The collection contains 1 request organised into 1 folder.

Tagged areas include AI, Artificial Intelligence, Large Language Models, and T1.

Requests & Folders

embeddings