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RAG Needs a Question Boundary Before It Needs More Context.
When a RAG system fails, the first instinct is usually to inspect the retrieved results. Were the chunks too small? Was the embedding model weak? Should we add a reranker? Should we retrieve more docu
blog.mofuteq.space8 min read
#rag#llm#ai-agents#retrieval-augmented-generation#agent-runtime#ai-architecture#context-engineering#search#vector-database#system-design
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