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I’m currently working on a text-to-SQL project that combines metadata and LLMs to generate the best SQL queries using LLMs. My question is about how to communicate the generated SQL back to the user. In my current use case, I’m using VS Code, but in reality, users will be the ones submitting the text. While I’m familiar with the LLM side, I’m unsure about how to relay the SQL query back to the user effectively. As I’m new to front-end development, I would really appreciate any suggestions or guidance on how to do this. Thank you.
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I’m currently working on a text-to-SQL project that combines metadata and LLMs to generate the best SQL queries using LLMs. My question is about how to communicate the generated SQL back to the user. In my current use case, I’m using VS Code, but in reality, users will be the ones submitting the text. While I’m familiar with the LLM side, I’m unsure about how to relay the SQL query back to the user effectively. As I’m new to front-end development, I would really appreciate any suggestions or guidance on how to do this. Thank you.
Topic I am working : https://community.openai.com/t/text-2-sql-finetuning-and-metadata/886293
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