“While traditional algorithms like BM25 are fast and cheap and still have a place in the search stack, vectors will replace them in the coming years, Today, we have separate spaces for text search, visual search, and other modalities, but we envision a future with a unified vector representation that …

“Qdrant, being purpose-built for vector search, can introduce relevant features much faster, like quantization, integer8 support, and float32 rescoring. These advancements make searches more precise and cost-effective without sacrificing accuracy—exactly what Nyris needs, When optimizing for search accuracy and speed, compromises aren’t an option. Just as you wouldn’t use a …