When most people talk about embeddings, they mean dense vectors. But the world of embeddings is much richer. Depending on your use case, you might want to explore sparse, quantized, binary, multi-vector, or even variable-dimension embeddings. Each ty...
ai-embeddings.hashnode.dev3 min read
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