A Beginners Guide to Building a RAG App Using Open Source Milvus

What will you learn?
We will showcase how you can build a RAG using Milvus. Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

This session is designed for developers eager to learn more about RAG and Vector Databases. Through live demos, we will show you how you can effectively build a RAG application to be able to incorporate external knowledge from pre-existing sources. This interactive session will equip you with the knowledge to efficiently build and use RAG using unstructured data.

Topics Covered
- Introduction to RAG: What is RAG? When do you need it and how to build it?
- What is the RAG tech stack: RAG uses different components, we will go through them.
- Building a RAG app live: You will see how one can build a RAG app using Milvus.

▼ ▽ LINKS & RESOURCES
Slides: https://www.slideshare.net/slideshow/...
Notebook: https://github.com/stephen37/Milvus_d...

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