3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Adaptive Chunking: Optimizing Chunking-Method Selection for RAG
Paulo Roberto de Moura Júnior, Jean Lelong, Annabelle Blangero
The effectiveness of Retrieval-Augmented Generation (RAG) is highly dependent on how documents are chunked, that is, segmented into smaller units for indexing and retrieval. Yet, c…
cs.AI2025★ 3 cited
Agentic RAG with Knowledge Graphs for Complex Multi-Hop Reasoning in Real-World Applications
Jean Lelong, Adnane Errazine, Annabelle Blangero
Conventional Retrieval-Augmented Generation (RAG) systems enhance Large Language Models (LLMs) but often fall short on complex queries, delivering limited, extractive answers and s…