{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/da198d42181a49499ee7a808308f3a31\" frameborder=\"0\" width=\"1774\" height=\"1330\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1330,"width":1774,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1330,"thumbnail_width":1774,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/da198d42181a49499ee7a808308f3a31-8481722f1a0dd2af.gif","duration":802.6084,"title":"Local RAG System Demo","description":"Hey there, I'm Henry, and in this video, I'll be showcasing our CISC-452 Neuron Genetic Computing final project. We've developed a local reg system to test retrieval augmented generation capabilities using LLAMA 3.2 with the FAISS or FACE vector store. I'll walk you through the code demo and setup process, explaining how we manage conversation memory, ingest PDF files, and perform similarity metrics. No action requested, just enjoy the demo!"}