Sensible Instruct authoring tips
Configure low-code document data extractions using Sensible Instruct, powered by large-language models (LLM) such as GPT-4.
Sensible Instruct is a low-code, AI-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.
Updated 1 day ago