<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/6ffc496cf8e5476abe2ee84b3193d168&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6ffc496cf8e5476abe2ee84b3193d168-1c8c7284576d02a4.gif</thumbnail_url><duration>283.3078</duration><title>Innovative Memory System for Data Analysis and Client Engagement</title><description>In this Loom, I walk you through the memory system structure I&apos;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.</description></oembed>