Abstract
We present Maqui.ai, a Chilean startup that helps users find and navigate the legal bodies that apply to a given problem by combining a legal knowledge graph with graph-augmented retrieval-augmented generation. We describe the data pipeline behind the system and discuss the main challenges we have faced while deploying it with real users.
Type
Publication
In the Industry Track of 25th International Semantic Web Conference
