Technology
AI Embeddings
Vector representations of documents and drawings for AI search.
Definition
AI Embeddings are numerical representations of documents, drawings, and other content that capture semantic meaning. These vectors enable similarity search, content recommendation, and clustering. For AEC, embeddings allow finding similar details, searching by meaning rather than keywords, and connecting related project information.
Examples
1
Creating embeddings from construction drawings
2
Enabling similarity search for details
3
Clustering related project documents
Related Nomic Use Case
See how this is applied in real AEC workflows:
Related Terms
Related Keywords
AI embeddingsvector embeddingssemantic vectorsembedding models
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