{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/96e5b6cab3884177b76113ff37023600\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/96e5b6cab3884177b76113ff37023600-95a9e365ddb8d168.gif","duration":1677.937,"title":"Building a Graph-Based System to Enhance Sales Insights and Client Interactions 📈","description":"In 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."}