Micro Free Course — 100% Free Learning
All lessons in this module are free to learn. Sign in with Google to save your progress.
1
M1 — Embeddings + Retrieval
Embedding dims compared, 2x2 chunking benchmark with P@K/Recall/MRR, FAISS-local-first stores.
Module Progress0% Complete
60 min total
4 Lessons
0 Completed
Module Content
Embeddings + Vector DBs
Outcome: Compare dims 768/1536/3072 on retrieval quality Curated video (LearnThatStack): Embeddings & Vector Databases Explained — https://www.youtube.com/watch?v=rw1YfQQttfo (verified live via yt-dlp 2026-09-24). Pointer: llms-genai-for-practitioners/11 (top_k, FAISS, Pinecone); shell: courses/video-scripts/genai-rag-agents/02.md.
10 minVideo
Start
Chunking Strategies + Stores
Run a 2x2 chunking benchmark; report P@K/Recall/MRR.
30 minArticle
Start
Quiz: Retrieval
10 scenario MCQs, Bloom 3-4, gate >= 80.
20 minAssignment
Start
2x2 Chunking x 2-Embedding Benchmark
Submit P@K/Recall/MRR table + defended winner.
minSubmission
Start