
Tag: Natural Language Processing


Building Knowledge Graph RAG solution from Model Driven Engeneering – Part 1
Building Knowledge Graphs for RAG from Famix Models Large Language Models (LLMs) are impressively good at understanding code ā but

From Local Retrieval to Global Reasoning: GraphRAG for Legal Knowledge Modeling
1. Introduction Artificial Intelligence is reshaping the way legal professionals access, analyze, and reason over information. Retrieval-Augmented Generation (RAG) has

Understanding AI Hallucinations: Causes, Techniques, and Evaluation
1. Introduction Generative artificial intelligence models have fundamentally transformed the way we create, access, and use information. However, their widespread

From Generic to Domain-Smart: Tailoring Embeddings for High-Performance Business Search
1. Strategic Context and Challenges Modern answer engines look simple from the outside: a user asks a question, and the

Beyond Static Chunking: Multimodal and Adaptive Segmentation for Improved Information Retrieval
Introduction Retrieval-Augmented Generation systems [Li et al., 2025], called RAG, rely heavily on how documents are segmented before indexing. This

Nihed Bendahman Ph.D. thesis defense: “Evaluation and mitigation of hallucinations in automatic summarization in the specific context of legal documentsā
Monday 15th December at 2p.m. Paris time, Nihed Bendahman, Ph.D. Candidate has defended her thesis named “Evaluation and mitigation of hallucinations

Explanation of the Coruscant Mobile project
This research is the result of a collaboration between Ali Can Kocabiyikoglu, Pascal Zaragoza, and Vincent Laval, part of the

From law to customer in seconds: automating legal compliance
Adherence to legal mandates is crucial for businesses, as failure to comply can lead to substantial penalties. In an environment

Celebrating New PhDs from the BL.Research Team!
At Berger-Levrault, research is more than a missionāitās a shared adventure. As the new academic year begins, we are proud