Bridging natural language processing with semi-structured data
brings both opportunity and complexity.
MySQL HeatWave GenAI’s NL2SQL feature shows how natural language
can simplify data interaction — even for JSON documents. Yet,
because JSON embeds both data and metadata within a single
column, LLMs may struggle without explicit schema cues.
By creating well-structured views that reveal JSON’s internal
organization, you can transform unstructured data into a
relational format the model understands — improving both query
accuracy and overall usability.
This approach highlights how MySQL HeatWave continues to evolve
as a powerful engine for intelligent, natural language–driven
analytics.
The post Querying the Unstructured: Natural Language to SQL
for JSON Data first appeared …
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