Скачать с ютуб Use Vectorize to add additional context to your AI Applications through RAG -Gamertown в хорошем качестве

Use Vectorize to add additional context to your AI Applications through RAG -Gamertown

Craig uses Vectorize to store embeddings of the IGDB (Internet Game Database) from Twitch. Using specific context helps add knowledge to your Workers AI chat applications through Retrieval Augmented Generation, RAG using Llama 3.1. App: https://gamertown.craigsdemos.workers... Repo: https://github.com/craigsdennis/gamer... Create an account on Cloudflare today for free: https://dash.cloudflare.com/sign-up Tools mentioned: https://developers.cloudflare.com Workers AI: https://developers.cloudflare.com/wor... Vectorize: https://developers.cloudflare.com/vec... IGDB API: https://api-docs.igdb.com/#getting-st... Embedding Model: https://developers.cloudflare.com/wor... 98.css: https://jdan.github.io/98.css/ Oddworld Abe's Exodus: https://www.igdb.com/games/oddworld-a... Chapters: 00:00 Intro to Gamertown 00:32 Large Language Model Gamertown Demo 02:30 RAG explanation 03:07 Vector database 04:04 Demo using Vectorize 04:55 Review the code 05:40 Introducing standalone question concept 06:28 Create an embedding 06:51 Use Vectorize to query existing embeddings 07:40 Create the additional context for the System Message 08:35 Wrap up #cloudflare #cloudflareworkers #developer #vectorize