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Nikita Kozodoi

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Nikita Kozodoi

RAG

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2 posts

Posts

AWS Blog2025

Detect Hallucinations for RAG-Based Systems

RAG systems still answer confidently when the retrieved context does not support the answer. We add a detection layer that flags those cases, comparing methods such as LLM-as-judge and semantic similarity on accuracy against cost.

GenAILLMsRAG
AWS Blog2023

Improve LLM Responses in RAG Use Cases by Interacting with the User

When retrieval returns a weak answer, most RAG systems reply anyway. We add a clarification tool so the system asks a follow-up question instead, combining Amazon Kendra retrieval, LangChain orchestration, and Amazon Bedrock.

GenAILLMsRAG

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