#RAG
5 posts
What is a knowledge graph, and why it changes how AI navigates Belgian tax law
A search engine finds text. A knowledge graph navigates relationships: which article amends which, which ruling interprets what, which exception overrides the rule. Belgian tax law is a web of cross-references, and a knowledge graph is the map.
What is chunking, and why it's the invisible foundation of legal AI quality
Before your legal AI tool can answer a question, it has to cut the law into pieces. The way it cuts determines whether the answer includes the exception that changes everything, or misses it entirely.
What is authority ranking, and why your legal AI tool probably ignores it
A ministerial circular and a Court of Cassation ruling look the same to most AI search systems. That is a fundamental gap, and it makes every answer unreliable.
What is RAG, and why it's not enough for legal AI on its own
How retrieval-augmented generation works, why basic RAG still hallucinates, and what a search-RAG fusion architecture adds for tax professionals.
Fine-tuning vs. RAG: two ways to make AI smart, and why it matters which one your tax tool chose
Fine-tuning memorizes yesterday's law. RAG looks up today's. For Belgian tax professionals, this architecture choice determines whether your AI tool is current or confidently outdated.