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RAG and vector search
MLOps Engineer
RAG and vector search questions
8 questions on RAG and vector search for mlops engineers, easiest first.
Easy
1
What a vector database does
easy
Medium
4
Switching embedding models in RAG
medium
RAG answers without context
medium
Embedding one document at a time
medium
Cross-encoder reranker is slow
medium
Hard
3
Retrieval got worse as the index grew
hard
Training on 128K-token sequences
hard
New embedding model, old index
hard
