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 ...

Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...

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 ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Microsoft released version 1.0 of its Agent Framework on April 3, unifying two previously ...

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 ...

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 ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...

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 ...

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 ...