Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Learn how we built a WordPress plugin that uses vectors and LLMs to manage semantic internal linking directly inside the ...

This work constitutes a major scholarly contribution to information systems design and offers a pragmatic blueprint for ...

Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...

Al-Masry Al-Youm CIO Omar Badr reveals how Egypt’s leading independent daily has navigated a decade of digital disruption, balancing editorial freedom with cutting-edge technology.

For decades, the web has been held together by a chaotic and brittle system of custom APIs. This fragmented landscape of ...

The new major version with a new JIT compiler, a revised parallelization API, and a maturing type system paves the way for ...

Google has released its Deep Research agent to developers via the Interactions API, undercutting OpenAI with low pricing and open-sourcing the DeepSearchQA benchmark.

The German-French software company said the update adds an automation feature to the 3D_Kernel_IO software development kit..