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en/applications/developer-guide.html

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configuration is therefore accessed through generated config classes.
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</p><p>
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The Maven target <code>generate-sources</code> (invoked by <code>mvn install</code>) uses
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<a href="https://github.com/vespa-engine/sample-apps/blob/master/album-recommendation-java/src/main/resources/configdefinitions/metal-names.def">
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<a href="https://github.com/vespa-engine/sample-apps/blob/master/album-recommendation-java/app/src/main/resources/configdefinitions/metal-names.def">
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metal-names.def</a>
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to generate <code>target/generated-sources/vespa-configgen-plugin/com/mydomain/example/MetalNamesConfig.java</code>.
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</p><p>
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<td>
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<p id="tests">
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Examples unit tests are found in
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<a href="https://github.com/vespa-engine/sample-apps/blob/master/album-recommendation-java/src/test/java/ai/vespa/example/album/MetalSearcherTest.java">
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<a href="https://github.com/vespa-engine/sample-apps/blob/master/album-recommendation-java/app/src/test/java/ai/vespa/example/album/MetalSearcherTest.java">
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MetalSearcherTest.java</a>.
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<code>testAddedOrTerm1</code> and <code>testAddedOrTerm2</code> illustrates two ways of doing the same test:
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</p>
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<p>
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The <code>apiKey</code> is used to fetch the <em>dev</em> instance's endpoints.
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The data plane key and certificate pair is used by
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<a href="https://github.com/vespa-engine/vespa/blob/master/tenant-cd-api/src/main/java/ai/vespa/hosted/cd/Endpoint.java">ai.vespa.hosted.cd.Endpoint</a>
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<a href="https://github.com/vespa-engine/vespa/blob/master/cloud/tenant-cd-api/src/main/java/ai/vespa/hosted/cd/Endpoint.java">ai.vespa.hosted.cd.Endpoint</a>
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to access the application endpoint.
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Note that the <code>-D vespa.test.config</code> argument is gone;
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this configuration is automatically fetched from the Vespa Cloud API—hence the need for the API key.

en/applications/unit-testing.html

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the test through <a href="https://javadoc.io/page/com.yahoo.vespa/application/latest/com/yahoo/application/Application.html#getJDisc-java.lang.String-">app.getJDisc(clusterName)</a> -
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this class has methods for using all common <a href="../reference/applications/components.html">component types</a>.
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</p><p>
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Refer to <a href="https://github.com/vespa-engine/sample-apps/blob/master/album-recommendation-java/src/test/java/ai/vespa/example/album/MetalSearcherTest.java">
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Refer to <a href="https://github.com/vespa-engine/sample-apps/blob/master/album-recommendation-java/app/src/test/java/ai/vespa/example/album/MetalSearcherTest.java">
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MetalSearcherTest.java</a> for example use.
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Notice how the test disables the network layer in order to run tests in parallel.
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</p>

en/examples/billion-scale-image-search.md

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## Stateless Components
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The app contains several [container components](../applications/components.html):
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- [RankingSearcher](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/java/ai/vespa/examples/searcher/RankingSearcher.java) implements the last stage ranking using
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- [RankingSearcher](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/app/src/main/java/ai/vespa/examples/searcher/RankingSearcher.java) implements the last stage ranking using
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full-precision vectors using an ONNX model for accelerated inference.
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- [DedupingSearcher](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/java/ai/vespa/examples/searcher/DeDupingSearcher.java) implements run-time de-duping after Ranking, using
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- [DedupingSearcher](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/app/src/main/java/ai/vespa/examples/searcher/DeDupingSearcher.java) implements run-time de-duping after Ranking, using
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document to document similarity matrix, using an ONNX model for accelerated inference.
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- [DimensionReducer](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/java/ai/vespa/examples/DimensionReducer.java) PCA dimension reducing vectors from 768-dims to 128-dims.
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- [AssignCentroidsDocProc](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/java/ai/vespa/examples/docproc/AssignCentroidsDocProc.java) searches the HNSW graph content cluster
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- [DimensionReducer](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/app/src/main/java/ai/vespa/examples/DimensionReducer.java) PCA dimension reducing vectors from 768-dims to 128-dims.
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- [AssignCentroidsDocProc](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/app/src/main/java/ai/vespa/examples/docproc/AssignCentroidsDocProc.java) searches the HNSW graph content cluster
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during ingestion to find the nearest centroids of the incoming vector.
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- [SPANNSearcher](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/java/ai/vespa/examples/searcher/SPANNSearcher.java)
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- [SPANNSearcher](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/app/src/main/java/ai/vespa/examples/searcher/SPANNSearcher.java)
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## Deploying this app
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These reproducing steps, demonstrates the app using a smaller subset of the LAION-5B vector dataset, suitable
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It is possible to deploy this app to
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[Vespa Cloud](../basics/deploy-an-application-java.html).
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For Vespa cloud deployments to the [dev env](../operations/zones.html)
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replace the [src/main/application/services.xml](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/application/services.xml) with
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[src/main/application/services-cloud.xml](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/application/services-cloud.xml) -
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replace the [src/main/application/services.xml](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/qpp/src/main/application/services.xml) with
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[src/main/application/services-cloud.xml](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/app/src/main/application/services-cloud.xml) -
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the cloud deployment uses dedicated clusters for `feed` and `query`.
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Wait for the application endpoint to become available:
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The response contains all fields, including the full vector representation and the
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reduced vector, plus all the metadata. Everything represented in the same
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[schema](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/application/schemas/image.sd).
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[schema](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/app/src/main/application/schemas/image.sd).
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## Query the data
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The following provides a few query examples,
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`prompt` is a run-time query parameter which is used by the
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[CLIPEmbeddingSearcher](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/src/main/java/ai/vespa/examples/searcher/CLIPEmbeddingSearcher.java)
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[CLIPEmbeddingSearcher](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search/app/src/main/java/ai/vespa/examples/searcher/CLIPEmbeddingSearcher.java)
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which will encode the prompt text into a CLIP vector representation using the embedded CLIP model:
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<pre data-test="exec" data-test-assert-contains="documentid">

en/linguistics/query-rewriting.html

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The decision to use EQUIV must be taken by application-specific dictionary or linguistics use.
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This can be done using <a href="../reference/querying/yql.html#equiv">YQL</a>
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or from a container plugin (example
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<a href="https://github.com/vespa-engine/sample-apps/blob/master/album-recommendation-java/src/main/java/ai/vespa/example/album/EquivSearcher.java">
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<a href="https://github.com/vespa-engine/sample-apps/blob/master/album-recommendation-java/app/src/main/java/ai/vespa/example/album/EquivSearcher.java">
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EquivSearcher.java</a>) where the query object is manipulated as follows:
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</p>
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<ol>

en/operations/enclave/aws-getting-started.md

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#### Cloudformation
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Vespa also supports Cloudformation if you prefer the AWS-native solution.
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Download the Cloudformation stacks in our [github repository](https://github.com/vespa-cloud/cloudformation-aws-enclave) and
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Download the Cloudformation stacks in our [GitHub repository](https://github.com/vespa-cloud/cloudformation-aws-enclave) and
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### 4. Deploy a Vespa application

en/querying/nearest-neighbor-search.md

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As with all query operators in Vespa, one can build the query tree programmatically
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in a custom [searcher component](../applications/searchers.html).
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See
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[Centroids](https://github.com/vespa-engine/sample-apps/blob/master/billion-scale-image-search/src/main/java/ai/vespa/examples/Centroids.java)
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[Centroids](https://github.com/vespa-engine/sample-apps/blob/master/billion-scale-image-search/app/src/main/java/ai/vespa/examples/Centroids.java)
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in [Billion-Scale Image Search](https://github.com/vespa-engine/sample-apps/tree/master/billion-scale-image-search)
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for an example of how the `NearestNeighborItem` is used.
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