Paths/AI Engineer/RAG / The Vector Store
Configure the Vector Store
The vector store holds the embeddings and answers the nearest-neighbour queries. Write the store configuration - index type, vector dimension and how many replicas it runs.
Validator
⏱ 0:00
IDLE — checks run live as you type commands; submit when done
01Requirements
live checks- Directory ~/rag exists○
- File ~/rag/store.yaml exists○
- The config names the index type and the vector dimension○
- The config states the replica count○
02Walkthrough
1 of 4 revealed- 01
Create the rag directory
The indexing pipeline, the store and the query code belong in one place.
mkdir ~/rag - 3 locked · each failed submit reveals one
03Stuck?
0 of 3 revealedTake a hint without losing the lab — each one points at the thing to look at, not at the answer.
04AI Tutor
guides, never solvesTell me what you're stuck on — I'll nudge, not solve. Which requirement are you looking at?
04Notebook
saved locally in this browserlearner@lab — ubuntu:24.04
Session is disposable
↑/↓ recalls commands · Ctrl+Enter submits · type help for the command list