To extract from documents, describe your target data using Sensible’s prompt-authoring environment, Sensible Instruct. Sensible Instruct is a large language model (LLM)-based 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:Documentation Index
Fetch the complete documentation index at: https://sensible.mintlify.app/llms.txt
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| 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 Group method | ”When does the policy period end?""What are the last 4 numbers of the account?” | Extracts a single fact or data point. |