Update README.md

README.md

@@ -30,9 +30,12 @@ Support types include:
 * `integer` - a whole number.
 * `number` - a whole or decimal number.
 * `date-time` - ISO formatted date.
+* Array of any of the above types (e.g. `["string"]`)
 * `enum` - a choice from set of possible answers (represented in template as an array of options, e.g. `["yes", "no", "maybe"]`).
 * `multi-label` - an enum that can have multiple possible answers (represented in template as a double-wrapped array, e.g. `[["A", "B", "C"]]`).
 
+If the model does not identify relevant information for a field, it will return `null` or `[]` (for arrays and multi-labels).
+
 The following is an example template:
 ```json
 {
@@ -46,7 +49,19 @@ The following is an example template:
   "languages_spoken": [["English", "French", "Japanese", "Mandarin", "Spanish"]]
 }
 ```
-
+An example output:
+```json
+{
+  "first_name": "Susan",
+  "last_name": "Smith",
+  "description": "A student studying computer science.",
+  "age": 20,
+  "gpa": 3.7,
+  "birth_date": "2005-03-01",
+  "nationality": "England",
+  "languages_spoken": ["English", "French"]
+}
+```
 
 ⚠️ We recommend using NuExtract with a temperature at or very close to 0. Some inference frameworks, such as Ollama, use a default of 0.7 which is not well suited to many extraction tasks.