Building Intuition for Embedding Similarity: What Do the Numbers Actually Look Like?
Embedding models convert text into vectors, and cosine similarity between those vectors tells you how related two texts are. But what does a score of 0.4 actually mean? Is that good? How much does a paragraph score against its own...