video1.0<iframe src="https://www.loom.com/embed/96e5b6cab3884177b76113ff37023600" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/96e5b6cab3884177b76113ff37023600-95a9e365ddb8d168.gif1677.937In this video, I walk you through the development of our graph reg system, which serves as a second brain for connecting with clients and validating their pain points. I started by analyzing meeting transcripts to identify trends and improve our sales pipeline, ultimately leading to the design of a schema that captures interactions, personas, and pain points. I also discuss the integration of OpenAI and Neo4j to enhance our understanding of client needs and the features of our platform. Moving forward, I need your feedback on the accuracy of the pain points and the speaker identification process, as this will help refine our model. Please take a moment to review the current outputs and share your insights.