Support for Binary Quantization

Problem

Would love to see this capability in pgvector: https://qdrant.tech/articles/binary-quantization/ Essentially, BQ converts any vector embedding of floating point numbers into a vector of binary or boolean values. > In exchange for reducing our 32 bit embeddings to 1 bit embeddings we can see up to a 40x retrieval speed up gain! > One of the reasons vector search still works with such a high compression rate is that these large vectors are over-parameterized for retrieval. This is because they are designed for ranking, clustering, and similar use cases, which typically need more information encoded in the vector.