Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain. This produces a Streamlit app, with MLOps instrumentation.
machine-learning entity-resolution ontology named-entity-recognition entity-linking unstructured-data entity-embedding textgraphs vector-database dspy graphrag semantic-expansion semantic-random-walk ontology-pipeline epistemic-literacy entity-resolved-knowledge-graph
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Updated
Apr 15, 2026 - Python