Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

A production-ready Retrieval Augmented Generation (RAG) system built from scratch for legal document intelligence. Upload any PDF, ask questions, and get grounded answers with source citations — ...

In multilingual postcolonial contexts, the choice of language plays a crucial role in determining access to education, public services, and broader social participation. This study explores how ...

I am a solo developer with technical writing expertise of over a decade in the IT industry. I am a solo developer with technical writing expertise of over a decade in the IT industry. I am a solo ...

The fast-moving progress of AI and NLP has given rise to the LLMs (Large Language Models) that mimic humans very closely in text writing and are very sophisticated in their comprehension. At the same ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...

Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are discovering that retrieval is no longer a feature bolted onto model ...

Retrieves relevant medical information from authoritative documents (FDA, NICE) Generates answers with proper citations to source material Measures how often it hallucinates (faithfulness score) ...

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.