{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6ffc496cf8e5476abe2ee84b3193d168\" frameborder=\"0\" width=\"1114\" height=\"835\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":835,"width":1114,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":835,"thumbnail_width":1114,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6ffc496cf8e5476abe2ee84b3193d168-1c8c7284576d02a4.gif","duration":283.3078,"title":"Innovative Memory System for Data Analysis and Client Engagement","description":"In this Loom, I walk you through the memory system structure I've developed for our data ingestion and analysis process. I summarize new data into one-line summaries and store relevant metadata, which allows us to perform vector searches for accurate answers to our queries. I also demonstrate our query engine, showcasing how we can retrieve information like the number of staff at a facility and analyze sentiment trends over time. Additionally, I present our follow-up agent designed to automate client outreach based on critical events. I encourage you to consider how we can implement this system for all our clients effectively."}