Binary Vector Search (with KNN reranking for recall accuracy boost)

[MentalGear]

I've been following Orama for quite some time now. That's why I want to first say a great thank you to the whole team to provide this amazing universal and local search solution! The hybrid search is also a very unique feature.

Now, I was wondering if you already considered providing the option to enable a binary index for vector search?
This could boost performance 10x or more, which is especially interesting on local/edge devices or servers with millions of records.

In this regard, this article describes an interesting technique that basically uses a binary index for a wide retrieval followed by a KNN re-ranking to boost accuracy ( up to 95% ).

Binary Vector Search: The 30x Memory Reduction Revolution with Preserved Accuracy

Also, the HN comments on the article provide some more interesting methods.

Let me know what your thoughts on this are.