Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search

Think of a library with a vast index card system. Each index card only has a few keywords marked out (sparse vector) of a large possible set for each book (document). This is what sparse vectors enable for text.

What is a Sparse Vector?

Sparse vectors are like the Marie Kondo of data—keeping only what sparks joy (or relevance, in this case).

Consider a simplified example of 2 documents, each with 200 words. A dense vector would have several hundred …

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