InfoWorld

Qdrant unveils vector-based hybrid search for RAG

Open-source vector database provider Qdrant has launched BM42, a vector-based hybrid search algorithm intended to provide more accurate and efficient retrieval for retrieval-augmented generation (RAG) ...
SD Times

Qdrant introduces alternative to BM25 search tailored to improving RAG retrieval

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Wall Street Journal

‘Maple Leaf Rag’: Scott Joplin’s Splendid Syncopations

A pulsating piano solo by a black composer published 125 years ago this fall became an unexpected bestseller, drew droves of young people to the piano, and became an enduring classic of American music ...
VentureBeat

Cohere adds vision to its RAG search capabilities

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Cohere has added multimodal embeddings to its search model, allowing ...
dbta

Augmenting Applications with Vector Search and RAG

AI is undoubtedly a formidable capability that poses to bring any enterprise application to the next level. Offering significant benefits for both the consumer and the developer alike, technologies ...
Business Wire

Moveworks Introduces Enterprise Search with Agentic AI and Enhances RAG with Reasoning

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Moveworks, the leading generative AI Copilot for employee support, today announced the launch of Moveworks Enterprise Search, a generative AI-powered enterprise ...
VentureBeat

New DeepMind study reveals a hidden bottleneck in vector search that breaks advanced RAG systems

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...