Why You May Not Want to Use OpenAI's Embeddings (iamnotarobot.substack.com)

Summary:

• 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

Tags:

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