Enterprise scale NL2SQL

The use of large language models (LLMs) for translating natural language queries into SQL faces significant challenges in enterprise contexts, especially with complex databases. Issues include schema complexity, token usage, and the need for contextual understanding. Simplifying schemas and applying ontologies can improve the translation process and reduce errors, enhancing LLM effectiveness.

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