• OpenAI's embeddings may not be the best choice for semantic search due to potential limitations and costs.
  • Comparing OpenAI's embeddings with alternatives like Instructor models can help determine the best option for your application.

Key terms:

  • Semantic search: A method to find relevant information by understanding the meaning and context of search queries
  • Embeddings: Vectors representing coordinates in a semantic space, used to find relevant information
  • Instructor models: Alternative embeddings models that perform well in benchmarks and may be more suitable for certain applications
  • OpenAI API: A service provided by OpenAI to access their models, which may involve costs and reliability concerns


OpenAI GPT-4 GPT-3 Embeddings Trust GPT models Semantic Search Connectivity Instructor models Reliability