Intermediate Query Language (IQL) is a simple language that serves as an abstraction layer between natural language and data source-specific query syntax, such as SQL. With db-ally's structured views, LLM utilizes IQL to express complex queries in a simplified way.
For instance, an LLM might generate an IQL query like this when asked "Find me French candidates suitable for a senior data scientist position":
from_country('France') AND senior_data_scientist_position()
The capabilities made available to the AI model via IQL differ between projects. Developers control these by defining special Views. db-ally automatically exposes special methods defined in structured views, known as "filters", via IQL. For instance, the expression above suggests that the specific project contains a view that includes the from_country and senior_data_scientist_position methods (and possibly others that the LLM did not choose to use for this particular question). Additionally, the LLM can use Boolean operators (and,or, not) to combine individual filters into more complex expressions.