Abstract: Retrieval Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing large language models (LLMs) with external knowledge. Yet, the performance of RAG pipelines is ...

Introduction: Clinical decision-making in hepatology is currently challenged by the rapid expansion of medical knowledge and the limitations of Large Language Models (LLMs), specifically their ...

Access to power is changing the industry’s view about energy efficiency, which impacts all levels of the system stack and abstractions. Fraunhofer EAS’ Benjamin Prautsch argues that choosing the right ...

In many enterprise environments, engineers and technical staff need to find information quickly. They search internal documents such as hardware specifications, project manuals, and technical notes.

ai-book-with-rag/ ├── book/ # Docusaurus project (AI-generated content) ├── backend/ # FastAPI + OpenAI Agents SDK ├── subagents/ # Four specialized agents │ ├── BookWriter/ │ ├── RAGEngineer/ │ ├── ...

What if building advanced AI-powered search systems didn’t require a team of engineers or months of development? Imagine uploading a few files, tweaking minimal settings, and instantly allowing your ...

Ofcom is publishing two updates as part of its ongoing work to implement the Media Act. The Media Act imposes new standards requirements on streaming services (known as on-demand programme services, ...

Abstract: Retrieval-Augmented Generation (RAG) pairs large language models with external search to constrain knowledge staleness and hallucination, a critical need in finance and e-commerce where ...

As API integrations become increasingly complex across industries, developers are turning to specialized tools to help manage, visualize, and debug JSON data more efficiently. Responding to this ...

KNWL uses a hierarchical configuration system with service variants, allowing runtime component swapping without code changes. All components inherit from FrameworkBase and are wired through ...