Qdrant Database is an open source engine for similarity search, semantic retrieval, and AI applications using high-performance vector storage. Download qdrant documentation to set up reliable semantic ...

PDAOAI Platform Indexes 28 Million PubMed Abstracts on Qdrant; Introduces Manifold Folding to Solve the Infinity Problem in Biomedical Knowledge Retrieval AGOURA HILLS, CA, June 08, 2026 (GLOBE ...

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 ...

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 ...

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 ...

You've built a chatbot powered by a sophisticated large language model (LLM). It is incredibly confident and impresses everyone in the demo. Then a customer asks: "Can I change my shipping address ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Abstract: The vector database stores data as high-dimensional feature vectors. Some recently proposed attack techniques enable an adversary to launch feature vector inversion (FVI) attacks against ...