Observed Signal · Aug 14, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Fixing RAG Date Hallucinations in Legal Texts
Artem Sulyma describes how Retrieval-Augmented Generation (RAG) systems repeatedly hallucinated dates when ingesting EU legal texts because PDFs scatter related dates across articles and naive token-based chunking breaks context. His team at Platanor fixed the problem by restructuring the source repository: chunking by article headings, embedding source priority next to content, adding a verification date to every file, and providing an llms.txt index so agents load only needed files. He published the fact-checked base and methodology as a public GitHub repository (Platanor/hardware-compliance-handbook), and notes that answers improved not due to a smarter model but because the source stopped being one continuous wall of text.
Practical engineering fix for RAG pipelines that improves factuality on regulatory/legal text; relevant to teams building RAG systems but not a major platform policy or industry-shifting announcement.
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Key Takeaways & Evidence Grounding
- Article published by Artem Sulyma on 2026-08-14.
- Platanor (the author's team) maintains an internal reference on CRA/RED/NIS2/CSA and published a public repository: Platanor/hardware-compliance-handbook on GitHub.
- RAG systems produced date hallucinations when regulation PDFs were chunked by tokens, causing models to confuse entry-into-force and applicability dates.
- The issue was mitigated by restructuring source files: chunking by article headings, encoding source priority in files, adding a 'Last verified' date per file, and adding an llms.txt index to the repo.
- The repository can be pulled into RAG pipelines or installed as a Claude Skill.
Connected Companies & Entities
5 Entities mapped“A couple of weeks ago I dropped the CRA text (the EU's cybersecurity regulation for IoT devices) into ChatGPT and asked when the main requir...”
“We packaged the whole approach, plus the fact-checked base on CRA/RED/NIS2/CSA, into one repository - pull it into your own RAG pipeline or ...”
“We packaged the whole approach, plus the fact-checked base on CRA/RED/NIS2/CSA, into one repository - pull it into your own RAG pipeline or ...”
“DEV Community — A space to discuss and keep up software development and manage your software career...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
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