{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6c715563b8ec45f280213e5466f0be14\" 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/6c715563b8ec45f280213e5466f0be14-00001.gif","duration":300.119,"title":"Building Memory for AI Applications 🧠","description":"In this video, I introduce a personal graph library for AI applications that tackles long-term memory challenges in AI systems. The library allows users to create, manage, and query knowledge graphs, supporting natural language queries and local database storage. I demonstrate examples of converting text to graphs, storing user interactions, and querying knowledge graphs. Viewers are encouraged to explore the functionalities showcased."}