newsReddit r/MachineLearningTrust 52 · CommunityPublished 29d agoLive · 28d ago
EU AI Act OpenRAG: 933 legally structured chunks and BGE-M3 embeddings in one SQLite file [P]
I have released EU AI Act OpenRAG, a downloadable corpus of Regulation (EU) 2024/1689 designed for RAG and legal-NLP experimentation. Instead of sliding character windows, the corpus chunks on the Regulation’s legal structure: one chunk per article paragraph one per recital one per Article 3 definition one per annex point chapter, section and provision metadata stored separately The resulting
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%Open-Source-Legal/OpenContracts →
- PossiblePossibly related (embedding) · 50%chatvector-ai/chatvector-ai →
- PossiblePossibly related (embedding) · 48%anantha037/lexshield-ai →
- PossiblePossibly related (embedding) · 47%osmanuygar/sqlatte →
- PossiblePossibly related (embedding) · 47%inkeep/open-knowledge →
- PossiblePossibly related (embedding) · 53%BLAD: A Historically Contextualized, Multilingual Dataset of Bangladeshi Legal Acts (1799 to 2025) →
- PossiblePossibly related (embedding) · 47%Laurent00TT/pharos →
