RAG (Retrieval-Augmented Generation) — Meaning & DefinitionA technique where a model retrieves relevant documents from a trusted knowledge base before answering, so responses are grounded rather than guessed.एक तंत्र जिथे मॉडेल उत्तर देण्यापूर्वी विश्वासार्ह ज्ञान-संग्रहातून संबंधित दस्तऐवज मिळवते, जेणेकरून प्रतिसाद अंदाजित नव्हे तर आधारित असतील.

Instead of relying only on what it memorised during training, a RAG system searches an institution's own schemes, MIS or finance records at query time, and generates an answer grounded in those retrieved sources, with citations attached. This is core to how Maha-1 avoids hallucination on governance questions.

प्रशिक्षणादरम्यान लक्षात ठेवलेल्यावरच अवलंबून राहण्याऐवजी, RAG प्रणाली प्रश्नाच्या वेळी संस्थेच्या स्वतःच्या योजना, MIS किंवा वित्त नोंदी शोधते, आणि त्या मिळवलेल्या स्रोतांवर आधारित उत्तर तयार करते, उद्धरणांसह. महा-१ शासन प्रश्नांवर भ्रम कसे टाळते यामागे हेच मुख्य आहे.

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