Business Wire

Qdrant Raises $50 Million Series B to Define Composable Vector Search as Core Infrastructure for Production AI

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 ...
VentureBeat

Agents need vector search more than RAG ever did

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 ...
SiliconANGLE

Qdrant raises $50M to bring flexible vector search to production AI systems

Open-source vector search 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. AVP ...
dbta

Qdrant Receives $50M to Build Out a Vector Search Engine that AI Demands

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 ...
SiliconANGLE

Qdrant Cloud launches high-performance vector database features for AI workloads

As more AI systems become mission-critical for the agentic era and enterprise companies begin to adopt retrieval-augmented generation, also known as RAG, vector search has become the go-to for data ...
VentureBeat

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall

Something shifted in enterprise RAG in Q1 2026. VB Pulse data spanning January through March tells a consistent story: the market stopped adding retrieval layers and started fixing the ones it already ...