October 30, 2026
Vector Databases Explained: Search by Meaning, Not Keywords
Vector databases explained in plain words: how embeddings turn text into points, how nearest-neighbour search finds meaning and when you really need...
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Vector databases explained in plain words: how embeddings turn text into points, how nearest-neighbour search finds meaning and when you really need...
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AI embeddings turn text and images into number-based vectors so machines can measure meaning by distance, powering semantic search and RAG systems.
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