diff --git a/example-configs/schema/dense.json b/example-configs/schema/dense.json
index 99705ee5..b88f154d 100644
--- a/example-configs/schema/dense.json
+++ b/example-configs/schema/dense.json
@@ -48,7 +48,7 @@
         "clip": {
           "factory": "DenseEmbedding",
           "parameters": {
-            "host": "http://10.34.64.84:8888/",
+            "host": "http://10.34.64.83:8888/",
             "model": "open-clip-vit-b32",
             "length": "512",
             "timeoutSeconds": "100",
diff --git a/vitrivr-engine-core/src/main/kotlin/org/vitrivr/engine/core/model/query/basics/Distance.kt b/vitrivr-engine-core/src/main/kotlin/org/vitrivr/engine/core/model/query/basics/Distance.kt
index 4bd0737c..59379f45 100644
--- a/vitrivr-engine-core/src/main/kotlin/org/vitrivr/engine/core/model/query/basics/Distance.kt
+++ b/vitrivr-engine-core/src/main/kotlin/org/vitrivr/engine/core/model/query/basics/Distance.kt
@@ -98,6 +98,19 @@ enum class Distance {
         override fun invoke(v1: Value.DoubleVector, v2: Value.DoubleVector): Double = throw UnsupportedOperationException("Jaccard distance is not supported for float vectors.")
     };
 
+    companion object {
+        infix fun fromString(value: String): Distance {
+            return when (value) {
+                "manhattan" -> MANHATTAN
+                "euclidean" -> EUCLIDEAN
+                "cosine" -> COSINE
+                "hamming" -> HAMMING
+                "jaccard" -> JACCARD
+                else -> throw IllegalArgumentException("Distance function $value is not supported.")
+            }
+        }
+    }
+
     /**
      * Calculates this [Distance] between two [Value.FloatVector].
      *
@@ -115,4 +128,5 @@ enum class Distance {
      * @return [Double]
      */
     abstract operator fun invoke(v1: Value.DoubleVector, v2: Value.DoubleVector): Double
-}
\ No newline at end of file
+}
+
diff --git a/vitrivr-engine-module-fes/src/main/kotlin/org/vitrivr/engine/base/features/external/implementations/dense/DenseEmbedding.kt b/vitrivr-engine-module-fes/src/main/kotlin/org/vitrivr/engine/base/features/external/implementations/dense/DenseEmbedding.kt
index bd6b971c..1fae947d 100644
--- a/vitrivr-engine-module-fes/src/main/kotlin/org/vitrivr/engine/base/features/external/implementations/dense/DenseEmbedding.kt
+++ b/vitrivr-engine-module-fes/src/main/kotlin/org/vitrivr/engine/base/features/external/implementations/dense/DenseEmbedding.kt
@@ -18,6 +18,7 @@ import org.vitrivr.engine.core.model.descriptor.vector.FloatVectorDescriptor
 import org.vitrivr.engine.core.model.metamodel.Analyser.Companion.merge
 import org.vitrivr.engine.core.model.metamodel.Schema
 import org.vitrivr.engine.core.model.query.Query
+import org.vitrivr.engine.core.model.query.basics.Distance
 import org.vitrivr.engine.core.model.query.proximity.ProximityQuery
 import org.vitrivr.engine.core.model.retrievable.Retrievable
 import org.vitrivr.engine.core.model.types.Value
@@ -36,6 +37,8 @@ class DenseEmbedding : ExternalFesAnalyser<ContentElement<*>, FloatVectorDescrip
     companion object {
         const val LENGTH_PARAMETER_DEFAULT = 512
         const val LENGTH_PARAMETER_NAME = "length"
+        const val DISTANCE_PARAMETER_DEFAULT = "euclidean"
+        const val DISTANCE_PARAMETER_NAME = "distance"
     }
     override val contentClasses = setOf(ImageContent::class, TextContent::class)
     override val descriptorClass = FloatVectorDescriptor::class
@@ -103,6 +106,7 @@ class DenseEmbedding : ExternalFesAnalyser<ContentElement<*>, FloatVectorDescrip
         val retries = field.parameters[RETRIES_PARAMETER_NAME]?.toIntOrNull() ?: RETRIES_PARAMETER_DEFAULT
         val model =  field.parameters[MODEL_PARAMETER_NAME] ?: throw IllegalStateException("Model parameter not set.")
         val k = context.getProperty(field.fieldName, "limit")?.toLongOrNull() ?: 1000L
+        val distance = Distance fromString (field.parameters[DISTANCE_PARAMETER_NAME] ?: DISTANCE_PARAMETER_DEFAULT)
         val fetchVector = context.getProperty(field.fieldName, "returnDescriptor")?.toBooleanStrictOrNull() ?: false
 
         /* Generate vector for content element. */
@@ -116,6 +120,6 @@ class DenseEmbedding : ExternalFesAnalyser<ContentElement<*>, FloatVectorDescrip
         }
 
         /* Return retriever. */
-        return this.newRetrieverForQuery(field, ProximityQuery(value = vector, k = k, fetchVector = fetchVector), context)
+        return this.newRetrieverForQuery(field, ProximityQuery(value = vector, distance = distance, k = k, fetchVector = fetchVector), context)
     }
 }
\ No newline at end of file