paulbricman/semantica
Extending conceptual thinking with semantic embeddings.
ArchivedImplements a knowledge graph system that maps concepts to high-dimensional semantic embedding spaces, enabling similarity-based reasoning and discovery across interconnected ideas. The architecture leverages transformer-based embeddings to compute conceptual distances and surface non-obvious relationships between domains. Designed as a standalone tool for augmenting personal knowledge management workflows and creative ideation processes.
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Python
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MPL-2.0
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Sep 21, 2021
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