Qdrant, the open-source vector search engine built in Rust for production workloads, announced it has secured $50 million in Series B funding will enable composable vector search as core infrastructure for production.
The funding round was led by AVP, with participation from Bosch Ventures, Unusual Ventures, Spark Capital, and 42CAP.
"Many vector databases were built to only store dense embeddings and return nearest neighbors. That's table stakes," said André Zayarni, CEO and co-founder of Qdrant. "Production AI systems need a search engine where every aspect of retrieval—how you index, how you score, how you filter, how you balance latency against precision—is a composable decision. That's what we've built, that’s what developers and the most sophisticated enterprises are looking for as they scale internal and external AI workloads, and this funding accelerates our ability to make it the standard."
Built from the ground up in Rust, Qdrant rethinks every layer of the retrieval—indexing, scoring, filtering, ranking—as composable primitives that engineers control directly.
Composable vector search means teams choose and combine retrieval capabilities at query time: dense vectors, sparse vectors, metadata filters, multi-vector representations, and custom scoring functions, with explicit control over how each affects relevance, latency, and cost. Rather than accepting opaque defaults, engineers make deliberate decisions tuned to their specific workload, the company said.
The result is a search engine that adapts to the problem rather than forcing the problem to fit the tool. Whether a team optimizes for maximum accuracy, lowest latency, or cost efficiency at scale, Qdrant exposes the controls to get there, without re-architecting as requirements evolve.
With AI adoption accelerating and fundamentally redefining B2B and B2C workflows across on-premise, cloud, and edge environments, Qdrant emerges as the most flexible, lowest-latency-at-scale vector search provider, according to the vendor.
For more information about this news, visit https://qdrant.tech.