Sema

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Structured Extraction ​

Extract structured data from unstructured text using LLM-powered schema-based extraction and classification.

Extraction ​

llm/extract ​

Extract structured data from text according to a schema. The schema defines the expected fields and their types.

scheme
(llm/extract
  {:vendor {:type :string}
   :amount {:type :number}
   :date   {:type :string}}
  "I bought coffee for $4.50 at Blue Bottle on Jan 15, 2025")
; => {:amount 4.5 :date "2025-01-15" :vendor "Blue Bottle"}

The schema map specifies field names as keys and type descriptors as values. Supported types include :string, :number, and :boolean.

Classification ​

llm/classify ​

Classify text into one of a set of categories. Returns the matching keyword.

scheme
(llm/classify [:positive :negative :neutral]
              "This product is amazing!")
; => :positive

Pass a vector of keyword labels and the text to classify. The LLM picks the best-matching label.