Creating an Agentic RAG for Text-to-SQL Applications
SMRTR summary
Agentic RAG enhances text-to-SQL processing by breaking tasks into specialized tools within an agent. This approach improves accuracy, transparency, and debugging capabilities compared to traditional monolithic models, utilizing components like query transformation, hybrid search, and prompt building to generate precise SQL queries from natural language input.
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