Part 5/11:

Dynamic Retrieval of Relevant Data

• When a user submits a question in natural language, it is converted into an embedding.

• The system calculates similarity scores between the user query and stored QA pairs.

• Only pairs exceeding a certain similarity threshold are selected to guide the SQL generation.

• The relevant metadata and business rules are loaded dynamically, ensuring contextually accurate prompts.

Guiding the AI to Generate SQL

• Prompt Construction: The system assembles a prompt for the LLM, combining retrieved examples, metadata, and business rules.