Semantic Search with Cohere Embeddings

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Using a simple comparison function, we can calculate a similarity score for two embeddings to figure out whether two texts are talking about similar things.

There are a number of ways to do this, with two of the most common methods being Euclidean distance and Cosine similarity. Let's walk through an example of the latter approach.

First, if you don't already have the SDK installed do that: