diff --git a/examples/semanticsearchservicedemo/src/test/kotlin/com/theagilemonkeys/ellmental/semanticsearchservicedemo/MainKtTest.kt b/examples/semanticsearchservicedemo/src/test/kotlin/com/theagilemonkeys/ellmental/semanticsearchservicedemo/MainKtTest.kt
index 70f6cec9..379dd97b 100644
--- a/examples/semanticsearchservicedemo/src/test/kotlin/com/theagilemonkeys/ellmental/semanticsearchservicedemo/MainKtTest.kt
+++ b/examples/semanticsearchservicedemo/src/test/kotlin/com/theagilemonkeys/ellmental/semanticsearchservicedemo/MainKtTest.kt
@@ -26,7 +26,7 @@ class MainKtTest : StringSpec() {
             run {
                 val learnUri = "http://localhost:${server.port()}/SemanticSearch/learn"
                 val learnRequest = Request(Method.POST, learnUri)
-                    .body("{\"texts\": [\"$textToLearn\"]}")
+                    .body("{\"items\": [{\"text\": \"$textToLearn\"}]}")
                 val learnResponse = client(learnRequest)
                 learnResponse.bodyString() shouldContain "cannot be blank"
                 learnResponse.status.code shouldBe 500
@@ -50,7 +50,7 @@ class MainKtTest : StringSpec() {
             // Run the learn operation and ensure it was OK
             val learnUri = "http://localhost:${server.port()}/SemanticSearch/learn"
             val learnRequest = Request(Method.POST, learnUri)
-                .body("{\"texts\": [\"$textToLearn\"]}")
+                .body("{\"items\": [{\"text\": \"$textToLearn\"}]}")
             val learnResponse = client(learnRequest)
             learnResponse.status.code shouldBe 200
 
diff --git a/modules/semanticsearch/src/main/kotlin/com/theagilemonkeys/ellmental/semanticsearch/SemanticSearch.kt b/modules/semanticsearch/src/main/kotlin/com/theagilemonkeys/ellmental/semanticsearch/SemanticSearch.kt
index f423a079..f746e42e 100644
--- a/modules/semanticsearch/src/main/kotlin/com/theagilemonkeys/ellmental/semanticsearch/SemanticSearch.kt
+++ b/modules/semanticsearch/src/main/kotlin/com/theagilemonkeys/ellmental/semanticsearch/SemanticSearch.kt
@@ -20,13 +20,15 @@ class SemanticSearch {
      * [EmbeddingsModel] to calculate text embeddings for each piece of text. Then it uses the
      * [VectorStore] to persist them.
      *
-     * @param input A list of texts to be learned.
+     * @param input A list of LearnInputItems to be learned. Each LearnInputItem may contain the following:
+     * - text: The text to be learned.
+     * - metadata: A map of metadata to be associated with the text.
      */
     suspend fun learn(input: LearnInput) =
-        input.texts.forEach { text ->
-            check(text.isNotBlank()) { "Text cannot be blank" }
-            val embedding = embed(text)
-            val semanticEntry = SemanticEntry(content = text, embedding = embedding)
+        input.items.forEach { item ->
+            check(item.text.isNotBlank()) { "Text cannot be blank" }
+            val embedding = embed(item.text)
+            val semanticEntry = SemanticEntry(content = item.text, embedding = embedding, metadata = item.metadata)
             upsert(semanticEntry)
         }
 
@@ -48,7 +50,15 @@ class SemanticSearch {
 }
 
 @Serializable
-data class LearnInput(val texts: List<String>)
+data class LearnInputItem (
+    val text: String,
+    val metadata: Map<String, String>? = emptyMap()
+)
+
+@Serializable
+data class LearnInput(
+    val items: List<LearnInputItem>
+)
 
 @Serializable
 data class SearchOutput(val entries: List<SemanticEntryMatch>)