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Vectors, dot products, and cosine similarity: the geometry behind embeddings
Embeddings are one of the simplest ways to understand modern AI systems: represent information as numbers, then use geometry to compare those numbers.
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Build a minimal RAG pipeline: chunk, embed, retrieve, answer
Retrieval-Augmented Generation (RAG) is one of the most practical patterns for building AI applications that work with private or constantly changing information.