Data in the generative AI era: We need more knowledge engineers
With AI creating a need for knowledge engineering, information science (as we used to call it) has come full circle. It comes ...
GitHub12d
Multi-Source Construction RAG: LLM-Driven Insights
The solution presented effectively combines structured data (RDF-based knowledge graphs) and unstructured data (PDF documents) using advanced NLP techniques to create a comprehensive and responsive ...
RAG’s Intelligent Upgrade Agentic RAR (Oxford University)
Discover Oxford’s RAR Framework, a groundbreaking AI model redefining reasoning with adaptive pathways and multi-agent ...
VentureBeat28d
Beyond RAG: How cache-augmented generation reduces latency, complexity for smaller workloads
Learn More Retrieval-augmented generation (RAG) has become the de facto way of customizing large language models (LLMs) for bespoke information. However, RAG comes with upfront technical costs and ...
DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...
People6d
Brittany Mahomes’ Exact Rag & Bone Sweatpant Jeans Are on Sale Just for PEOPLE Readers
Score best-selling styles for 20 percent off with our exclusive code Christopher Polk / Billboard; Rag & Bone Brittany Mahomes has functional fashion down to a science — and now, PEOPLE readers ...
The New York Times10d
What's Going On in This Graph?
What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...
GitHub9d
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
The GFM-RAG is the first graph foundation model-powered RAG pipeline that combines the power of graph neural networks to reason over knowledge graphs and retrieve relevant documents for question ...