# Day 1 Lab: Vectorizing Inputs into Milvus

> 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 dow…

- Web page: https://www.dataexpert.io/lesson/understanding-rag-day1-lab-july2025-p737-l1175
- Program: [AIExpert](https://www.dataexpert.io/program/ai-expert)
- Module: Week 1: Prompt Engineering & Basic RAG
- Access: Requires enrollment in AIExpert
- Length: 1 h 20 min video
- Skills: Python, NLP, Data Modeling, APIs
- Academy: DataExpert.io Academy

## About this lesson

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.

## Navigation

- Previous lesson: [Day 1 Lecture: RAG Fundamentals and types of RAG](https://www.dataexpert.io/lesson/understanding-rag-lecture-day1-july2025-p737-l1174.md)
- Next lesson: [Day 2 Lecture: RAG Tradeoffs](https://www.dataexpert.io/lesson/understanding-rag-lecture-day2-july2025-p737-l1176.md)