Milvus 101- Most Advanced Vector Database | Yujian Tang
Channel: AI With Tarun
Date: 2024-01-19

In this video, we dive into the world of Retrieval-Augmented Generation (RAG) and explore how to build a robust RAG system using LlamaIndex and Milvus. Milvus, the world's most advanced open-source vector database, allows you to develop and maintain AI applications with ease. With its powerful capabilities, you can create a large-scale similarity search service in less than a minute. LlamaIndex complements Milvus by providing simple and intuitive SDKs for various languages, making the integration seamless and efficient.

What You'll Learn:

- Introduction to RAG: Understand the basics of Retrieval-Augmented Generation and how it enhances the capabilities of AI models by incorporating external knowledge sources.
- Overview of Milvus: Discover the features and benefits of using Milvus as your vector database for AI applications. Learn how it supports large-scale similarity search and efficient data retrieval.
- Introduction to LlamaIndex: Get acquainted with LlamaIndex, its functionalities, and how it simplifies the integration process with Milvus through its intuitive SDKs.
- Setting Up Your Environment: Step-by-step guidance on setting up Milvus and LlamaIndex, ensuring you have all the necessary tools and configurations in place.

Source Code: https://github.com/ytang07/milvus-projects/tree/main/llamaindex

#milvus #ai #vector #database #llamaindex #llm