{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bd98db65474f4e828bd4db65d556159c\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bd98db65474f4e828bd4db65d556159c-552ede8b46276907.gif","duration":799.718,"title":"Querying Ollama with schema.org ontology and using it with Logseq","description":"In this video, I demonstrate how to query data in Allama LLM using a LogSeq graph, specifically focusing on books and notable figures like Feynman. I walk through the process of importing data, correcting inaccuracies, and enhancing our knowledge graph with additional properties. I also highlight the importance of the schema.org ontology in structuring our queries. Please take a moment to review the script and let me know if you have any questions or feedback!"}