OpenAI API: Embeddings Part 5 - More Using Embeddings in the Real World

In this final part of our series on embeddings, we dive into semantic search using both cosine similarity and Euclidean distance. We explore practical examples and provide working code to help you understand how these techniques can be used to find similar items within a dataset. Additionally, we discuss the concept of caching embeddings for efficiency and demonstrate how to output data in JSON format.

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