services.xml

<?xml version="1.0" encoding="utf-8" ?>
<services version='1.0' xmlns:deploy="vespa" xmlns:preprocess="properties">

  <container id='default' version='1.0'>
    <nodes count='1'/>
    <component id='ai.vespa.examples.Centroids' bundle='billion-scale-image-search'/>
    <component id='ai.vespa.examples.DimensionReducer' bundle='billion-scale-image-search'/>
    <component id="ai.vespa.examples.BPETokenizer" bundle='billion-scale-image-search'>
      <config name="ai.vespa.examples.bpe-tokenizer">
        <contextlength>77</contextlength>
        <vocabulary>files/bpe_simple_vocab_16e6.txt.gz</vocabulary>
      </config>
    </component>
    <model-evaluation>
      <onnx>
        <models>
          <model name="text_transformer">
            <intraop-threads>1</intraop-threads>
          </model>
          <model name="vespa_innerproduct_ranker">
            <intraop-threads>1</intraop-threads>
          </model>
        </models>
      </onnx>
    </model-evaluation>
    <search>
      <chain id='default' inherits='vespa'>
        <searcher id='ai.vespa.examples.searcher.DeDupingSearcher' bundle='billion-scale-image-search'/>
        <searcher id='ai.vespa.examples.searcher.RankingSearcher' bundle='billion-scale-image-search'/>
        <searcher id="ai.vespa.examples.searcher.CLIPEmbeddingSearcher" bundle="billion-scale-image-search"/>
        <searcher id='ai.vespa.examples.searcher.SPANNSearcher' bundle='billion-scale-image-search'/>
      </chain>
    </search>
    <document-api/>
    <document-processing>
      <chain id='neighbor-assigner' inherits='indexing'>
        <documentprocessor id='ai.vespa.examples.docproc.DimensionReductionDocProc'
                           bundle='billion-scale-image-search'/>
        <documentprocessor id='ai.vespa.examples.docproc.AssignCentroidsDocProc'
                           bundle='billion-scale-image-search'/>
      </chain>
    </document-processing>
  </container>

  <content id='graph' version='1.0'>
    <min-redundancy>1</min-redundancy>
    <documents>
      <document mode='index' type='centroid'/>
      <document-processing cluster='default' chain='neighbor-assigner'/>
    </documents>
    <nodes count='1'/>
    <engine>
      <proton>
        <tuning>
          <searchnode>
            <feeding>
              <concurrency>1.0</concurrency>
            </feeding>
          </searchnode>
        </tuning>
      </proton>
    </engine>
  </content>

  <content id='if' version='1.0'>
    <min-redundancy>1</min-redundancy>
    <documents>
      <document mode='index' type='image'/>
      <document-processing cluster='default' chain='neighbor-assigner'/>
    </documents>
    <nodes count='1'/>
    <engine>
      <proton>
        <tuning>
          <searchnode>
            <requestthreads>
              <persearch>2</persearch>
            </requestthreads>
            <feeding>
              <concurrency>1.0</concurrency>
            </feeding>
            <summary>
              <io>
                <read>directio</read>
              </io>
              <store>
                <cache>
                  <maxsize-percent>5</maxsize-percent>
                  <compression>
                    <type>lz4</type>
                  </compression>
                </cache>
                <logstore>
                  <chunk>
                    <maxsize>16384</maxsize>
                    <compression>
                      <type>zstd</type>
                      <level>3</level>
                    </compression>
                  </chunk>
                </logstore>
              </store>
            </summary>
          </searchnode>
        </tuning>
      </proton>
    </engine>
  </content>
</services>