add labs

lab/vector/02_load_embedding.sql

@@ -0,0 +1,42 @@
+exec DBMS_VECTOR.DROP_ONNX_MODEL('MULTILINGUAL_E5_BASE');
+
+-- list onnx models in object storage
+SELECT object_name, bytes, checksum, created, last_modified
+FROM DBMS_CLOUD.LIST_OBJECTS(
+  credential_name => 'OCI$RESOURCE_PRINCIPAL',
+  location_uri    => 'https://idi1o0a010nx.objectstorage.us-chicago-1.oci.customer-oci.com/n/idi1o0a010nx/b/uploads/o/'
+);
+
+-- load onnx model into vector database
+declare
+    model_source blob := NULL;
+    model_uri varchar2(1000) := 'https://idi1o0a010nx.objectstorage.us-chicago-1.oci.customer-oci.com/n/idi1o0a010nx/b/uploads/o/multilingual-e5-base.onnx';
+begin
+    model_source := DBMS_CLOUD.GET_OBJECT(credential_name => 'OCI$RESOURCE_PRINCIPAL', object_uri => model_uri); 
+
+    DBMS_VECTOR.LOAD_ONNX_MODEL(
+        'MULTILINGUAL_E5_BASE', -- 768 dimensions
+        model_source,
+        metadata => JSON('{"function" : "embedding", "embeddingOutput" : "embedding", "input": {"input": ["DATA"]}}')
+    );
+END;
+/
+
+-- test using onnx model
+SELECT VECTOR_EMBEDDING(
+        MULTILINGUAL_E5_BASE 
+        USING 'la veloce volpe marrone saltò' as DATA) 
+    AS embedding;
+
+
+-- test using external provider
+SELECT DBMS_VECTOR.UTL_TO_EMBEDDING(
+    'la veloce volpe marrone saltò',
+    JSON('{
+            "provider"        : "ocigenai",
+            "credential_name" : "OCI$RESOURCE_PRINCIPAL",
+            "url"             : "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com/20231130/actions/embedText",
+            "compartmentId"   : "ocid1.compartment.oc1..aaaaaaaa33ogmhasyvcqzuvkrfzo5mavh3q2le7mgwmy74yzpyqi7byxgrlq",
+            "model"           : "openai.text-embedding-3-large"
+        }')
+) AS emb;