Semantic Document Understanding AI
AI that understands the meaning and context of construction documents.
Definition
Semantic Document Understanding AI goes beyond text extraction to understand the meaning and relationships within construction documents. It comprehends document structure, cross-references, and technical context to enable intelligent querying and analysis of project documentation.
In Depth
Semantic document understanding goes beyond OCR and text extraction to comprehend what a document means in context. For construction documents, this means understanding that a specification section is defining a requirement (not just containing text), that a drawing keynote is a reference to another document (not just a label), and that an RFI is asking a question that needs an answer from a specific party.
This deeper understanding enables AI to answer questions about document content rather than just finding documents that contain certain words. "What is the specified concrete cover for exterior columns?" requires understanding that the answer involves a specific value from the structural specification that applies to elements shown on the structural drawings — not just finding documents that contain the words "concrete" and "cover."
Examples
Understanding specification relationships
Parsing drawing references
Contextual document search
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Semantic Document Understanding AI goes beyond text extraction to understand the meaning and relationships within construction documents. It comprehends document structure, cross-references, and technical context to enable intelligent querying and analysis of project documentation.
Understanding specification relationships. Parsing drawing references. Contextual document search.
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