56. RAG From Scratch

A basic RAG pipeline consists of:

1. load documents
2. split documents into chunks
3. create embeddings
4. store vectors
5. embed the user query
6. retrieve similar chunks
7. construct a prompt
8. generate an answer

The central loop is:

Query
 ↓
Retrieve
 ↓
Context
 ↓
Generate