Azure Cache for Redis Community Standup - OpenAI Embeddings and Vector Search with Redis скачать в хорошем качестве

Azure Cache for Redis Community Standup - OpenAI Embeddings and Vector Search with Redis

In this month's community standup, we'll walk through how to use Azure Cache for Redis Enterprise to store and compare embeddings vectors produced by Azure OpenAI Service. We'll also use LangChain to make development even easier. Our end goal: a movie recommendation engine using semantic natural text queries! Chapters: 00:00 Welcome to the Azure Cache Redis Community Standup 00:18 On today's stream" Azure Cache Redis and OpenAI 01:39 Today's demo: AI-powered movie recommendation app 02:25 Embeddings 06:28 Our workflow 07:36 Dataset from Kaggle 08:44 Ingest and clean data with Pandas 09:52 Generate Embeddings through Azure OpenAI 11:23 Get a vector DB - Azure Cache for Redis 14:44 Run queries 16:32 Demo 19:52 Add a UI with Streamlit 21:00 Deploy to Azure Container Apps 22:10 Demo 25:59 Vector Similarity Search Use Cases 30:53 Additional Cache SKUs 31:35 Learn more and Get started 33:02 Thank you and Connect Community Links: https://www.theurlist.com/redis-and-o... Featuring: Kyle Teegarden #Redis #Langchain #OpenAI