RAG and Embeddings

The #1 production pattern (70% of teams). Embeddings, chunking, vector search, re-ranking, end-to-end RAG, and the failure modes that bite.

1. 1Why models need external memory3 q
2. 2Embeddings for retrieval3 q
3. 3Vector search: nearest neighbors3 q
4. 4Chunking documents well3 q
5. 5Building the retrieval pipeline3 q
6. 6Retrieval augmented generation, end to end3 q
7. 7Failure modes: hallucination, stale context, bad chunks3 q
8. 8Evaluating a RAG system3 q