https://pypi.org/project/strwythura/ Recent updates to the Python Package Index for strwythura en https://pypi.org/project/strwythura/2.1.1/ 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. paco@senzing.com Wed, 15 Apr 2026 22:54:25 GMT https://pypi.org/project/strwythura/2.1.0/ 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. paco@senzing.com Wed, 15 Apr 2026 22:37:22 GMT https://pypi.org/project/strwythura/2.0.4/ 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. paco@senzing.com Wed, 25 Mar 2026 20:29:22 GMT https://pypi.org/project/strwythura/2.0.3/ 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. paco@senzing.com Tue, 03 Feb 2026 21:22:59 GMT https://pypi.org/project/strwythura/2.0.2/ 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. paco@senzing.com Thu, 29 Jan 2026 21:29:12 GMT https://pypi.org/project/strwythura/2.0.1/ 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. paco@senzing.com Thu, 22 Jan 2026 21:07:02 GMT https://pypi.org/project/strwythura/2.0.0/ 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. paco@senzing.com Wed, 31 Dec 2025 23:39:23 GMT https://pypi.org/project/strwythura/1.5.0/ Construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain. paco@senzing.com Tue, 02 Sep 2025 02:12:02 GMT https://pypi.org/project/strwythura/1.4.2/ Construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain. paco@senzing.com Mon, 01 Sep 2025 17:05:18 GMT https://pypi.org/project/strwythura/1.4.1/ Construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain. paco@senzing.com Sat, 30 Aug 2025 21:47:43 GMT https://pypi.org/project/strwythura/1.4.0/ Construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain. paco@senzing.com Sat, 30 Aug 2025 21:10:17 GMT https://pypi.org/project/strwythura/1.3.0/ Construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain. paco@senzing.com Thu, 28 Aug 2025 01:09:44 GMT https://pypi.org/project/strwythura/1.2.4/ Construct a knowledge graph from unstructured data sources, organized by results from entity resolution, implementing an enhanced GraphRAG approach, and also implementing an ontology pipeline plus context engineering for optimizing AI application outcomes within a specific domain. paco@senzing.com Sun, 24 Aug 2025 22:03:40 GMT https://pypi.org/project/strwythura/1.2.2/ Construct a _knowledge graph_ (KG) from unstructured data sources using _state of the art_ (SOTA) models for _named entity recognition_ (NER), then implement an enhanced _GraphRAG_ approach, and curate semantics for optimizing AI app outcomes within a specific domain. paco@derwen.ai Sun, 24 Aug 2025 18:59:13 GMT https://pypi.org/project/strwythura/1.2.1/ Construct a _knowledge graph_ (KG) from unstructured data sources using _state of the art_ (SOTA) models for _named entity recognition_ (NER), then implement an enhanced _GraphRAG_ approach, and curate semantics for optimizing AI app outcomes within a specific domain. paco@derwen.ai Sun, 24 Aug 2025 18:44:00 GMT