Building Knowledge Graphs for RAG from Famix Models Large Language Models (LLMs) are impressively good at understanding code — but
1. Introduction Artificial Intelligence is reshaping the way legal professionals access, analyze, and reason over information. Retrieval-Augmented Generation (RAG) has
Introduction The emergence of generative artificial intelligence, and more specifically chatbots, marks a turning point in the recent history of
1. Introduction Generative artificial intelligence models have fundamentally transformed the way we create, access, and use information. However, their widespread
Design guidelines for conversational AI interfaces and why a blank text field is not good enough The broken promise of
1. Strategic Context and Challenges Modern answer engines look simple from the outside: a user asks a question, and the
Introduction Retrieval-Augmented Generation systems [Li et al., 2025], called RAG, rely heavily on how documents are segmented before indexing. This
Introduction The Language Server Protocol (LSP) is a standard that defines how code editors communicate with language-specific servers to provide
Introduction In a context where the supply chain has become a central and structuring component of the Industry 5.0 ecosystem,
Introduction For several decades, enterprise software has been shaped by a fragile compromise between technical complexity and user readability. Systems
