Qdrant uses k=2 as its default hybrid search tunable parameter, with the paper citing RRF using 60 as the default.
Published
Signal category
Research & Knowledge
Quote
“Our default is k=2. The paper everyone cites when they say "we use RRF" uses 60. Same formula, wildly different behavior, and it's the kind of gap that's easy to ship past without ever noticing.”
— Andre Zayarni|Qdrant team
Company
Qdrant
Composable high-performance vector search
- Industry
- Software Development
- Location
- Berlin, DE
- Company size
- 153 employees
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data!
Founded 2021