This article details the construction of a hybrid Retrieval-Augmented Generation (RAG) application designed to interact with PDF documents, specifically focusing on insurance policies. The application employs a combination of semantic search and keyword-based BM25 reranking to retrieve relevant information, aiming to provide accurate answers while mitigating AI hallucinations. A multi-layered anti-hallucination gate is implemented, including a retrieval gate, a strict prompt, and a post-check, to ensure the AI either answers based on the document or explicitly states it cannot find the information. AI
IMPACT Demonstrates a practical approach to improving the reliability of RAG systems for document-based Q&A.
RANK_REASON Article describes the construction and functionality of a specific application, not a general release or research.
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