How to Implement a Cosine Similarity Function in TypeScript for Vector Comparison
SMRTR summary
Cosine similarity measures vector similarity, crucial for AI applications. It calculates vector alignment, producing values from 1 (perfectly similar) to -1 (dissimilar), with 0 indicating no relationship. This concept is vital for semantic search, AI recommendations, and content matching in web development. A TypeScript implementation and examples using OpenAI's embedding models are provided.
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