OpenAI Embeddings API

OpenAI Embeddings API

In simple terms, the embedding API turns text into numbers. We can then compute the distance between two vectors to measure the relatedness. OpenAI Embeddings API enables developers to access embedding AI models like:

• text-embedding-3-small
• text-embedding-3-large
• text-embedding-ada-002

Using the API

Passing a sentence or paragraph of text to the API returns an appropriate embedding. The generated embedding can then be used for everything from semantic search to document clustering, sentiment analysis, etc. Embedding API can be used for use cases like:

• Search
• Sentiment Analysis
• Recommendations
• Clustering, etc.

Example

Launch Python-supported IDE.

Create a Python file. Add sample Python code to invoke the API is shown below:

The OpenAI Embeddings API makes upgrading applications with next-generation language processing capabilities simple. From nuanced conversation understanding through chatbots to recommendation systems leveraging effective analysis of user preferences, Embeddings API can easily do it all.