Accessing data from a database

A method for providing data corresponding to a user query, the method comprising:

• receiving, using a wearable multimedia device, a user query for data stored in one or more databases, wherein the user query is represented in a first natural language;
• providing the user query as input for a machine learning model that has been trained by processing at least one prompt file determined for a particular domain of the one or more databases, wherein the prompt file comprises one or more pairs of example queries, each example query comprising a respective first query represented in the first natural language, and a respective second query represented in a database language;
• receiving a prediction for the user query as an output from the machine learning model, wherein the prediction comprises a predicted database query represented in the database language corresponding to the user query;
• fetching data from the one or more databases that corresponds to the predicted database query;
• and
• generating, using a virtual interface corresponding to the wearable multimedia device, an output based on the fetched data for the received user query.

A system comprising one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to perform operations for providing data corresponding to a user query, wherein the operations comprise:

• receiving a user query for data stored in one or more databases, wherein the user query is represented in a first natural language;
• determining a prompt file for the user query, wherein the prompt file comprises one or more pairs of example queries, wherein an example query pair comprises a first query represented in the first natural language, and a respective second query represented in a database language;
• providing the prompt file and the user query as input for a machine learning model, wherein the machine learning model is configured to generate a prediction for the prompt file and the user query;
• receiving the prediction generated for the prompt file and the user query, wherein the prediction comprises a predicted database query represented in the database language corresponding to the user query;
• determining whether the predicted database query, based on a ground-truth database query for the user query, satisfies a level of accuracy;
• and
• providing, using (i) the machine learning model and (ii) a virtual interface corresponding to a wearable multimedia device, data corresponding to one or more user queries.