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DTSTART;TZID=Europe/Vienna:20260311T160000
DTEND;TZID=Europe/Vienna:20260311T170000
DTSTAMP:20260312T115459Z
CREATED:20260130T143224Z
LAST-MODIFIED:20260312T115459Z
UID:245375-1773244800-1773248400@gws-sso-test.graphwise.ai
SUMMARY:GraphRAG That Doesn't Lie: Building Agents You Can Trust
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				GraphRAG That Doesn’t Lie: Building Agents You Can Trust\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						March 11\, 2026\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST\nNew York | 10:00 a.m. – 11:00 a.m. EST\nVienna | 4:00 p.m. – 5:00 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to register for this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				There’s a gap between what your GraphRAG agent says and what you can trust to be true. \nIt retrieves relevant documents. It generates confident answers. But it can’t verify conflicting sources\, validate claims across your knowledge base\, or trace its reasoning back to verified facts. \nFor organizations relying on AI for critical decisions\, whether in legal research\, compliance\, strategic planning\, or customer operations\, this trust gap isn’t just frustrating. It’s dangerous. \nJoin Andrey Tagarev\, AI & Knowledge Engineer at Graphwise\, on March 11 for a hands-on demonstration of how to close this gap. Using a real-world use case built on journalistic fact-checking and disinformation debunking\, Andrey will show you an agent that navigates RAG\, taxonomies\, ontologies\, and SPARQL queries simultaneously\, moving between unstructured content and structured knowledge to deliver answers it can prove.\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				You’ll learn:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Why retrieval-augmented generation alone isn’t enough\, and how structured knowledge improves understanding\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The architecture for combining documents with semantic knowledge graphs\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						A live build: creating a GraphRAG agent grounded in verified sources\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to construct evaluation datasets that test trust\, not just accuracy\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Fast\, confident answers aren’t valuable if they’re wrong. This session shows you how to build GraphRAG systems that stakeholders can actually rely on. \nMarch 11\, 10:00am EST / 4:00pm CET\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register for the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/graphrag-that-doesnt-lie-building-agents-you-can-trust/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2026/01/Featured-Image-2000x1000-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260311T160000
DTEND;TZID=Europe/Vienna:20260311T170000
DTSTAMP:20260130T143224Z
CREATED:20260130T143224Z
LAST-MODIFIED:20260130T143224Z
UID:252345-1773244800-1773248400@gws-sso-test.graphwise.ai
SUMMARY:GraphRAG That Doesn't Lie: Building Agents You Can Trust
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				GraphRAG That Doesn’t Lie: Building Agents You Can Trust\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						March 11\, 2026\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST\nNew York | 10:00 a.m. – 11:00 a.m. EST\nVienna | 4:00 p.m. – 5:00 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to register for this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				There’s a gap between what your GraphRAG agent says and what you can trust to be true. \nIt retrieves relevant documents. It generates confident answers. But it can’t verify conflicting sources\, validate claims across your knowledge base\, or trace its reasoning back to verified facts. \nFor organizations relying on AI for critical decisions\, whether in legal research\, compliance\, strategic planning\, or customer operations\, this trust gap isn’t just frustrating. It’s dangerous. \nJoin Andrey Tagarev\, AI & Knowledge Engineer at Graphwise\, on March 11 for a hands-on demonstration of how to close this gap. Using a real-world use case built on journalistic fact-checking and disinformation debunking\, Andrey will show you an agent that navigates RAG\, taxonomies\, ontologies\, and SPARQL queries simultaneously\, moving between unstructured content and structured knowledge to deliver answers it can prove.\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				You’ll learn:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Why retrieval-augmented generation alone isn’t enough\, and how structured knowledge improves understanding\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The architecture for combining documents with semantic knowledge graphs\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						A live build: creating a GraphRAG agent grounded in verified sources\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to construct evaluation datasets that test trust\, not just accuracy\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Fast\, confident answers aren’t valuable if they’re wrong. This session shows you how to build GraphRAG systems that stakeholders can actually rely on. \nMarch 11\, 10:00am EST / 4:00pm CET\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register for the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/graphrag-that-doesnt-lie-building-agents-you-can-trust-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2026/01/Featured-Image-2000x1000-1.png
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