To extract from documents, describe your target data using Sensible's prompt-authoring environment, Sensible Instruct. Sensible Instruct is a large language-model (LLM)-powered subset of SenseML, Sensible's JSON-based document extraction query language. By combining Sensible Instruct and SenseML, you can extract data from a range of document types, from highly structured business forms to unstructured research documents.

See the following topics for tips on configuring extractions in Sensible Instruct:

Method	Example use case	Notes
List method	For each vehicle in an auto insurance declaration, extract the VIN, model, and year.	Extracts a list of data out of a document, where you don't know how the data are represented.
NLP Table method	For each transaction in a bank statement table, extract the date and amount.	Extracts a list of data out of a document, where you know they're in a table.
Query method	"When does the policy period end?" "What are the last 4 numbers of the account?"	Extracts a single fact or data point.

Notes

For layout-based extraction methods, see methods.