Qdrant researchers found that multilingual embedding models group text by language as well as meaning, causing same-language answers to appear in the top 10 in 61% of cases on the 15,277-article, five…
Qdrant published a September 08, 2026 article by Matin Mahmood and John Kupchanko explaining hyperbolic embeddings, which use negatively curved space to represent branching hierarchies more efficientl…
Qdrant, the vector database company, published a guide on what to check before tuning a Qdrant collection, emphasizing that retrieval goals must be defined first and that certain settings verify corre…
Qdrant's filtered vector search benchmark on one million deep-image-96 vectors shows that ACORN-1, a query-time algorithm, repairs graph connectivity gaps left by Filterable HNSW's index-time extra ed…