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Cutting RAG inference costs 6x starts with deciding what never reaches the LLM

Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case straight to the language model and trust the retrieved context to sort it out. This works fine in a demo. It falls apart the moment the system has to survive an audit, a regulator, or a complianc

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PossiblePossibly related (embedding) · 55%amscotti/local-LLM-with-RAG →
PossiblePossibly related (embedding) · 55%jonfairbanks/local-rag →
PossiblePossibly related (embedding) · 54%Challenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages →
PossiblePossibly related (embedding) · 52%jxzhangjhu/Awesome-LLM-RAG →
PossiblePossibly related (embedding) · 52%Auditing Protocol-Level Shortcuts in Large Audio Language Model Judges for Speech Evaluation →
PossiblePossibly related (embedding) · 47%How Much Do Legal RAG Systems Still Hallucinate? →
PossiblePossibly related (embedding) · 49%Split the Labor: Separating Evidence Interpretation from Decision Aggregation →

Covers

repoamscotti/local-LLM-with-RAG repojonfairbanks/local-rag paperChallenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages repojxzhangjhu/Awesome-LLM-RAG paperAuditing Protocol-Level Shortcuts in Large Audio Language Model Judges for Speech Evaluation

Covers (incoming)

paperHow Much Do Legal RAG Systems Still Hallucinate?paperSplit the Labor: Separating Evidence Interpretation from Decision Aggregation

Related across the graph

repojxzhangjhu/Awesome-LLM-RAG repoamscotti/local-LLM-with-RAG repojonfairbanks/local-rag paperChallenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages paperSplit the Labor: Separating Evidence Interpretation from Decision Aggregation paperHow Much Do Legal RAG Systems Still Hallucinate?paperAuditing Protocol-Level Shortcuts in Large Audio Language Model Judges for Speech Evaluation