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Learn how a natural-language compiler transforms documents into graph structures for retrieval-augmented generation, enabling explainable AI through fact extraction and verification.
A programming language compiler converts a document in one language to another lower-level representation, exactly capturing required semantics while linking it to external libraries or machine-dependent information. Similarly, my “natural language” compiler aims to convert a document to another lower-level representation (graphs), capturing all possible semantics while linking to external sources of data. The motivation is to form a human/machine-readable representation that facilitates explainable AI and RAG.
CanDoo: AI legal assistant for cited legal research and document automation.
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