Sid Probstein - Creator of SWIRL - Search in siloed data with LLMs

Topics: [00:00](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=0s) Intro [00:22](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=22s) Quick demo of SWIRL on the summary transcript of this episode [01:29](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=89s) Sid’s background [08:50](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=530s) Enterprise vs Federated search [17:48](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=1068s) How vector search covers for missing folksonomy in enterprise data [26:07](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=1567s) Relevancy from vector search standpoint [31:58](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=1918s) How ChatGPT improves programmer’s productivity [32:57](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=1977s) Demo! [45:23](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=2723s) Google PSE [53:10](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=3190s) Ideal user of SWIRL [57:22](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=3442s) Where SWIRL sits architecturally [1:01:46](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=3706s) How to evolve SWIRL with domain expertise [1:04:59](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=3899s) Reasons to go open source [1:10:54](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=4254s) How SWIRL and Sid interact with ChatGPT [1:23:22](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=5002s) The magical question of WHY [1:27:58](https://www.youtube.com/watch?v=vhQ5LM5pK_Y&t=5278s) Sid’s announcements to the communityYouTube version: https://www.youtube.com/watch?v=vhQ5LM5pK_YDesign by Saurabh Rai: https://twitter.com/_srbhr_ Check out his Resume Matcher project: https://www.resumematcher.fyi/