NL2SQL With Gemini And BigQuery: A Step-by-Step Guide
NL2SQL, was created by combining the classic Structured Query Language (SQL) with Natural Language Processing (NLP)
Numerous questions require several stages of analysis. Consider figuring out the main causes of variations in sales from quarter to quarter
Even though this can sound difficult, Google Cloud provides a comprehensive set of tools to assist you in putting an effective NL2SQL solution into place
Vertex AI’s text embedding API or BigQuery’s ML.GENERATE_EMBEDDING function can be used to create embeddings
Start by determining which questions require attention: Depending on the final report’s goal, answering a question may seem straightforward
As needed, establish new table views and make sure that useful descriptions or metadata are used in place of business domain acronyms
Google’s heuristic experiment demonstrates that iteration with feedback is more effective following the creation of an initial draft of your SQL