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.|
For layout-based extraction methods, see methods.
Updated about 7 hours ago