llmnlpretrieval
Retrieval-augmented generation
Combining LLMs with external knowledge via embedding search — the dominant pattern for domain-grounded generation.
Уровни глубины
L0Intro~2ч
Knows RAG = search + stuff context into prompt.
L1Basics~8ч
Builds a simple RAG pipeline: chunk → embed → store → retrieve → generate.
L2Working~18ч
Implements hybrid search (BM25 + dense); reranking; evaluates with faithfulness / RAGAS.
L3Advanced~30ч
Query decomposition, HyDE, GraphRAG, self-RAG; long-context retrieval tradeoffs.
L4Research~60ч
End-to-end trainable retrieval (REALM, RETRO), retrieval-aware pretraining.
Ресурсы
L1 — Basics
L2 — Working