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At this time, no we do not. You may be able to use binary quantization to achieve a similar effect, but that would not be the same as true binary vector support. |
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Throwing in a +1 for binary vector support. I use qdrant for vector search over chemical structures. Adding binary vector support would allow including Tanimoto similarity and substructure/superstructure constraints in hybrid search, which would be really useful for molecular compounds. Milvus currently supports Tanimoto/substructure/superstructure on binary vectors, but to my knowledge they don't support dense/binary hybrid search |
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Does qdrant support the original vector being binary? If not, is there a plan to support it?
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