text-embedding-ada-002

The text-embedding-ada-002 model is part of OpenAI's family of text embedding models. These models are designed to convert text into numerical vector representations, called embeddings, that capture the semantic meaning of the input text. The text-embedding-ada-002 model is part of OpenAI's series of embeddings and is known for being efficient, scalable, and high-quality.

Key Features of text-embedding-ada-002:

• Use case: It is primarily used for semantic search, document similarity, text clustering, and question answering.
• Embedding size: The embeddings produced are dense, fixed-size vectors that can represent the meaning of input text in a more compact form.
• Efficiency: It is designed to handle a wide variety of texts efficiently, from short sentenc