diff --git a/adapter-aws-opensearch/src/main/java/io/nosqlbench/adapter/opensearch/dispensers/CreateIndexOpDispenser.java b/adapter-aws-opensearch/src/main/java/io/nosqlbench/adapter/opensearch/dispensers/CreateIndexOpDispenser.java
index 3979675db..0768f2d24 100644
--- a/adapter-aws-opensearch/src/main/java/io/nosqlbench/adapter/opensearch/dispensers/CreateIndexOpDispenser.java
+++ b/adapter-aws-opensearch/src/main/java/io/nosqlbench/adapter/opensearch/dispensers/CreateIndexOpDispenser.java
@@ -30,8 +30,17 @@ import java.util.function.LongFunction;
 
 public class CreateIndexOpDispenser extends BaseOpenSearchOpDispenser {
 
+    private final ParsedOp pop;
+    private final int dimensions;
+    private final int ef_construction;
+    private final int m;
+
     public CreateIndexOpDispenser(OpenSearchAdapter adapter, ParsedOp op, LongFunction<String> targetF) {
         super(adapter, op, targetF);
+        this.pop = op;
+        this.dimensions = pop.getStaticValue("dimensions",Integer.class).intValue();
+        this.ef_construction = pop.getStaticValue("ef_construction",Integer.class).intValue();
+        this.m = pop.getStaticValue("m",Integer.class).intValue();
     }
 
     @Override
@@ -50,6 +59,7 @@ public class CreateIndexOpDispenser extends BaseOpenSearchOpDispenser {
 
     // https://opensearch.org/docs/latest/search-plugins/knn/knn-index/
     private CreateIndexRequest.Builder resolveTypeMapping(CreateIndexRequest.Builder eb, Map<?, ?> mappings) {
+
         TypeMapping.Builder builder = new TypeMapping.Builder().properties(
                 Map.of(
                     "key",
@@ -59,13 +69,18 @@ public class CreateIndexOpDispenser extends BaseOpenSearchOpDispenser {
                     "value",
                     new Property.Builder()
                         .knnVector(new KnnVectorProperty.Builder()
-                            .dimension(25)
+                            .dimension(dimensions)
                             .method(
                                 new KnnVectorMethod.Builder()
                                     .name("hnsw")
                                     .engine("faiss")
                                     .spaceType("l2")
-                                    .parameters(Map.of("ef_construction", JsonData.of(256), "m", JsonData.of(8)))
+                                    .parameters(
+                                        Map.of(
+                                            "ef_construction", JsonData.of(ef_construction),
+                                            "m", JsonData.of(m)
+                                        )
+                                    )
                                     .build()
                             ).build()
                         ).build()
diff --git a/adapter-aws-opensearch/src/main/resources/activities/osvectors.yaml b/adapter-aws-opensearch/src/main/resources/activities/osvectors.yaml
deleted file mode 100644
index 7dd91b504..000000000
--- a/adapter-aws-opensearch/src/main/resources/activities/osvectors.yaml
+++ /dev/null
@@ -1,112 +0,0 @@
-description: |
-  basic test for vectors in open search
-  https://www.elastic.co/guide/en/elasticsearch/reference/current/rest-apis.html
-  template vars:
-     TEMPLATE(indexname,vectors_index)
-     TEMPLATE(dimensions,25)
-     TEMPLATE(search_cycles,1M)
-     TEMPLATE(rampup_cycles,TEMPLATE(trainsize))
-     TEMPLATE(size,100)
-
-params:
-  driver: opensearch
-  instrument: true
-
-scenarios:
-
-  vectors_brief:
-    bulkrampup: >-
-      run tags='block:bulkrampup' labels='target:opensearch'
-      threads=TEMPLATE(rampup_threads,10) cycles=TEMPLATE(trainsize)
-      errors=count,warn
-    #    search: run tags='block:search' labels='target:opensearch' threads=TEMPLATE(search_threads,10) cycles=TEMPLATE(testsize)
-    #rampup: >-
-    #  run tags='block:rampup' labels='target:opensearch'
-    #  threads=TEMPLATE(rampup_threads,10) cycles=TEMPLATE(trainsize)
-    #  errors=count,warn
-    ##    search: run tags='block:search' labels='target:opensearch' threads=TEMPLATE(search_threads,10) cycles=TEMPLATE(testsize)
-    search_and_verify: >-
-      run tags='block:search_and_verify' labels='target:opensearch'
-      threads=TEMPLATE(search_threads,10) cycles=TEMPLATE(testsize)
-      errors=count,warn
-
-  vectors:
-#    drop: run tags='block:drop' labels='target:opensearch' threads===1 cycles===UNDEF
-    schema: run tags='block:schema' labels='target:opensearch' threads===1 cycles===UNDEF
-    rampup: >-
-      run tags='block:rampup' labels='target:opensearch'
-      threads=TEMPLATE(rampup_threads,10) cycles=TEMPLATE(trainsize)
-      errors=count,warn
-    #    search: run tags='block:search' labels='target:opensearch' threads=TEMPLATE(search_threads,10) cycles=TEMPLATE(testsize)
-    search_and_verify: >-
-      run tags='block:search_and_verify' labels='target:opensearch'
-      threads=TEMPLATE(search_threads,10) cycles=TEMPLATE(testsize)
-      errors=count,warn
-    #  errors=counter,warn,log
-
-bindings:
-  id: ToString()
-  test_floatlist: HdfFileToFloatList("testdata/TEMPLATE(dataset).hdf5", "/test");
-  relevant_indices: HdfFileToIntArray("testdata/TEMPLATE(dataset).hdf5", "/neighbors")
-  distance_floatlist: HdfFileToFloatList("testdata/TEMPLATE(dataset).hdf5", "/distance")
-  train_floatlist: HdfFileToFloatList("testdata/TEMPLATE(dataset).hdf5", "/train");
-
-blocks:
-  drop:
-    ops:
-      drop_index:
-        delete_index: TEMPLATE(indexname,vectors_index)
-
-  schema:
-    ops:
-      create_index:
-        create_index: TEMPLATE(indexname)
-        mappings:
-          m1: v1
-  search:
-    ops:
-      search:
-        knn_search: TEMPLATE(indexname,vectors_index)
-        k: 100
-        vector: "{test_floatlist}"
-        field: value
-  search_and_verify:
-    ops:
-      select_ann_limit_TEMPLATE(k,100):
-        knn_search: TEMPLATE(indexname,vectors_index)
-        k: 100
-        vector: "{test_floatlist}"
-        field: value
-        verifier-init: |
-          relevancy=new io.nosqlbench.nb.api.engine.metrics.wrappers.RelevancyMeasures(_parsed_op)
-          for (int k in List.of(100)) {
-            relevancy.addFunction(io.nosqlbench.engine.extensions.computefunctions.RelevancyFunctions.recall("recall",k));
-            relevancy.addFunction(io.nosqlbench.engine.extensions.computefunctions.RelevancyFunctions.precision("precision",k));
-            relevancy.addFunction(io.nosqlbench.engine.extensions.computefunctions.RelevancyFunctions.F1("F1",k));
-            relevancy.addFunction(io.nosqlbench.engine.extensions.computefunctions.RelevancyFunctions.reciprocal_rank("RR",k));
-            relevancy.addFunction(io.nosqlbench.engine.extensions.computefunctions.RelevancyFunctions.average_precision("AP",k));
-          }
-        verifier: |
-          // driver-specific function
-          actual_indices=io.nosqlbench.adapter.opensearch.Utils.DocHitsToIntIndicesArray(result)
-          // driver-agnostic function
-          relevancy.accept({relevant_indices},actual_indices);
-          return true;
-  bulkrampup:
-    ops:
-      bulk_index:
-        bulk: TEMPLATE(indexname)
-        op_template:
-          repeat: TEMPLATE(bulk_repeat,100)
-          index: TEMPLATE(indexname)
-          document:
-            key: "{id}"
-            value: "{train_floatlist}"
-
-  rampup:
-    ops:
-      index:
-        index: TEMPLATE(indexname)
-        document:
-          key: "{id}"
-          value: "{train_floatlist}"