|
Abstract
I’ve written a rather silly thing using AI and JavaScript that finds Bigfoot using Semantic Search. In this session I’ll show it to you!
I’ll show you the code I used to trigger the Semantic Search. Not sure what Semantic Search is? Well, it uses embeddings to search for what you intended as opposed to keywords. This lets it understand the context of your request. Not sure what embeddings are? An embedding is a very carefully constructed vector created using an AI model. How can vectors do that? Guess you’re gonna have to come and find out!
If that’s not enough, I’m using buzzwords like LLM, LangChain, Hugging Face, Redis, and Vector Database. So you better come and learn what all that stuff is too!
Bio
Guy Royse
Developer Advocate at Redis
Guy works for Redis as a Developer Advocate. Combining his decades of experience in writing software with a passion for learning—and for sharing what he has learned—Guy explores interesting topics and spreads the knowledge he has gained around developer communities worldwide.
Teaching and community have long been a focus for Guy. He runs his local JavaScript meetup in Ohio and has served on the selection committees of numerous conferences. He’ll happily speak anywhere that will have him and has even has helped teach programming at a prison in central Ohio.
In his personal life, Guy is a hard-boiled geek interested in role-playing games, science fiction, and technology. He also has a slightly less geeky interest in history and linguistics. In his spare time he likes to camp and studies history and linguistics.
Guy lives in Ohio with his wife, his sons, and an entire wall of board and role-playing games.
|