Sign in to view content

Sign in to view this lesson and continue learning.

Day 1 Lab: Vectorizing Inputs into Milvus

Week 1: Prompt Engineering & Basic RAG
80 mins
PythonNLPData ModelingAPIs

Description

Learn how to vectorize inputs into Milvus by creating and managing collections for YouTube video transcripts. This lab covers essential tasks such as setting up a Milvus account, installing necessary packages, and using FastAPI to connect to Milvus. Participants will gain hands-on experience in downloading video data, generating transcripts using OpenAI, and integrating these transcripts into a retrieval-augmented generation (RAG) system, making it ideal for data engineers and AI practitioners looking to enhance their skills in vector databases and AI applications.