09/29/2026
You have hundreds or thousands of company documents and want employees to ask questions without manually searching through all of them.
That is exactly the problem RAG, Retrieval-Augmented Generation, is designed to solve.
In this CreezyCreates video, I break RAG down from first principles and start building AskDocs in C #/.NET.
We look at chunking, embeddings, semantic similarity, retrieval, source grounding and how the right pieces of information eventually become context for the LLM.
No magic black box. The goal is to understand what each part is doing and why.
If you have been hearing about RAG everywhere but still want the architecture to really click, watch the full video:
https://youtu.be/w1PQ1ORIN94