RAGFlow introduces the Text2SQL feature in response to community demand. Traditional Text2SQL requires model fine-tuning, which can significantly increase deployment and maintenance costs when used in enterprise settings alongside RAG or Agent components. RAGFlow’s RAG-based Text2SQL leverages the existing (connected) large language model (LLM), enabling seamless integration with other RAG/Agent components without the need for additional fine-tuned models.
Implementing Text2SQL with RAGFlow
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