{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/96978b7195064a358c521465b9bdd2ff\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/96978b7195064a358c521465b9bdd2ff-8435f63bbb35d65d.gif","duration":108.367,"title":"Enhancing Assistant Memory with Data Storage Solutions","description":"Good morning, everyone. In this video, I share my progress on a new test I've been working on, which involves using a data store to save and reference information from previous conversations. I've implemented this with a model called per-procity, utilizing a database from Make that is accessible with a subscription. I recommend limiting the stored data to three to five entries for efficiency. Please check out the data store for more details, and I encourage you to explore how this can enhance our interactions."}