Clarifications, readability

vespa-engine · Jul 7, 2023 · 7644c69 · 7644c69
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diff --git a/examples/embedding-service/README.md b/examples/embedding-service/README.md
@@ -19,8 +19,10 @@ which takes a string as an input and returns a vector embedding of that string.
 3. Download the models:
 ```
 mkdir -p src/main/application/embedder-models/e5-small-v2
-curl -o src/main/application/embedder-models/e5-small-v2/model.onnx https://data.vespa.oath.cloud/onnx_models/e5-small-v2/model.onnx
-curl -o src/main/application/embedder-models/e5-small-v2/tokenizer.json https://data.vespa.oath.cloud/onnx_models/e5-small-v2/tokenizer.json
+curl -o src/main/application/embedder-models/e5-small-v2/model.onnx \
+  https://data.vespa.oath.cloud/onnx_models/e5-small-v2/model.onnx
+curl -o src/main/application/embedder-models/e5-small-v2/tokenizer.json \
+  https://data.vespa.oath.cloud/onnx_models/e5-small-v2/tokenizer.json
 ```
 4. Add a public certificate: ``vespa auth cert``
 5. Compile and deploy the application: ``mvn install && vespa deploy --wait 600``

diff --git a/examples/embedding-service/src/main/application/services.xml b/examples/embedding-service/src/main/application/services.xml
@@ -85,11 +85,10 @@
          - Reference: https://docs.vespa.ai/en/reference/services.html
     -->
     <nodes>
-      <!--
-        At least 16Gb of memory is required, since even the smallest model consumes quite a lot of memory.
-      -->
-      <resources vcpu="4.0" memory="16Gb"/>
       <node hostalias="node1"/>
+
+      <!-- Example of configuring more memory for larger models, using Vespa Cloud -->
+      <resources vcpu="4.0" memory="16Gb"/>
     </nodes>
   </container>