Enterprise intent to adopt hybrid retrieval tripled from 10.3% to 33.3% in Q1 as first-gen RAG architecture failed at agentic ...

Automatic text-to-vector conversion using Dify's embedding models Dense and hybrid (dense + sparse BM25) similarity search Flexible point storage with standard Qdrant format support Full collection ...

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 ...

Open-source vector database startup Qdrant Solutions GmbH today announced it has raised $50 million in early-stage funding to pave the way for smarter and more reactive artificial intelligence apps.

BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the open-source vector search engine built in Rust for production workloads, today announced $50 million in Series B funding led by AVP, with participation ...

Qdrant, the open-source vector search engine built in Rust for production workloads, today announced $50 million in Series B funding led by AVP, with participation from Bosch Ventures, Unusual ...

What's the role of vector databases in the agentic AI world? That's a question that organizations have been coming to terms with in recent months. The narrative had real momentum. As large language ...

Qdrant, an open-source vector search engine, has closed a $50 million Series B funding round led by AVP, with participation from Bosch Ventures, Unusual Ventures, Spark Capital, and 42CAP. Vector ...

Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products. I share my insights here.) Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products.

According to @DeepLearningAI, a new short course with Qdrant teaches multi-vector image retrieval that directly matches text tokens to image patches and outperforms single-vector methods (source: ...