Paths/AI Engineer/RAG / Embeddings and Vector Search
Build a Vector Index Pipeline Config
Configure a document chunking and vector index pipeline specification with chunk size and overlap parameters.
Validator
⏱ 0:00
IDLE — checks run live as you type commands; submit when done
01Requirements
live checks- Directory ~/rag-pipeline exists○
- File ~/rag-pipeline/indexing-config.yaml exists○
- File ~/rag-pipeline/indexing-config.yaml contains "chunk_size"○
- File ~/rag-pipeline/indexing-config.yaml contains "cosine"○
02Walkthrough
1 of 3 revealed- 01
Initialize pipeline directory
Create a workspace for the retrieval indexing pipeline.
mkdir -p ~/rag-pipeline - 2 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