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 ...

Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Vector Systems is betting big on ...

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 ...

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, 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 ...

Qdrant is releasing platform version 1.17.0—updating search latency, introducing relevance feedback query, and deploying greater operational observability. This release introduces a new Relevance ...

For the final installment of this week's theme, "Vector Databases," we will take a deep dive into Qdrant. While Pinecone competes on "reliability," Weaviate on "OSS community," and Milvus on "track ...