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How does AI know that two pieces of text mean the same thing — even when the words are different? Cosine similarity measures the angle between embedding vectors, letting us compare meaning, not keywords. This is how AI decides which chunks of text are most relevant to a query. If you’re building search, RAG, or AI agents, this concept is foundational. Follow for more practical AI & RAG explanations 🚀 #aiagents #embeddings #rag #llms