In 2021, OpenAI released specialized endpoints in beta for Answers, Classification, and Search.

While these specialized endpoints were convenient, they had two drawbacks:

1. These specialized endpoints were eclipsed by techniques that achieved better results.
2. These specialized endpoints were more difficult to customize and optimize for individual use cases.

As a result, the Answers, Classifications, and Search endpoints are being deprecated.

For those who have not used these endpoints, nothing will change except that access will no longer be available.

For existing users of these endpoints, access will continue until December 3, 2022. Before that date, we strongly encourage developers to switch over to newer techniques which produce better results.

We've written guides and code examples for transitioning from the deprecated API endpoints to better methods.

Guide: How to transition off the Answers endpoint

• Option 1: transition to embeddings-based search (recommended)

  • Example code: Semantic_text_search_using_embeddings.ipynb

• Option 2: reimplement Answers endpoint functionality

  • Example code: answers_functionality_example.py

Guide: How to transition off the Classifications endpoint

• Option 1: transition to fine-tuning (recommended)
  • Example code: Fine-tuned_classification.ipynb
• Option 2: transition to embeddings
  • Example code: Semantic_text_search_using_embeddings.ipynb
• Option 3: reimplement Classifications endpoint functionality
  • Example code: classification_functionality_example.py

Guide: How to transition off the Search endpoint

• Option 1: transition to embeddings-based search (recommended)
  • Example code: Semantic_text_search_using_embeddings.ipynb
• Option 2: reimplement Search endpoint functionality
  • Example code: search_functionality_example.py