A RAG system designed for Bible question-answering encountered difficulties due to the semantic gap between modern conversational language and 17th-century biblical English. The author addressed this by implementing a multi-stage retrieval pipeline that combined semantic search, keyword-based retrieval, topic expansion, and re-ranking, significantly improving answer quality. Key takeaway: enhancing retrieval is crucial for RAG systems dealing with historical or specialized texts.
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Ali NematiWritten by Ali
