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.
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