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[8.x] Adding support for binary embedding type to Cohere service embedding type (#120751) (#121584)
* Adding support for binary embedding type to Cohere service embedding type (#120751) * Adding support for binary embedding type to Cohere service embedding type * Returning response in separate text_embedding_bits field * Update x-pack/plugin/core/src/main/java/org/elasticsearch/xpack/core/inference/results/InferenceByteEmbedding.java Co-authored-by: David Kyle <[email protected]> * Update docs/changelog/120751.yaml * Reverting docs change --------- Co-authored-by: David Kyle <[email protected]> (cherry picked from commit 89d71e1) # Conflicts: # server/src/main/java/org/elasticsearch/TransportVersions.java # x-pack/plugin/core/src/main/java/org/elasticsearch/xpack/core/inference/results/InferenceTextEmbeddingByteResults.java * Adding docs
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‎docs/changelog/120751.yaml

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pr: 120751
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summary: Adding support for binary embedding type to Cohere service embedding type
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area: Machine Learning
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type: enhancement
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issues: []

‎docs/reference/inference/service-cohere.asciidoc

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@@ -62,7 +62,7 @@ include::inference-shared.asciidoc[tag=chunking-settings-strategy]
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`service`::
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(Required, string)
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The type of service supported for the specified task type. In this case,
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The type of service supported for the specified task type. In this case,
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`cohere`.
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`service_settings`::
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* `byte`: use it for signed int8 embeddings (this is a synonym of `int8`).
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* `float`: use it for the default float embeddings.
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* `int8`: use it for signed int8 embeddings.
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* `binary`: use it for binary embeddings, which are encoded as bytes with signed int8 precision.
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* `bit`: use it for binary embeddings, which are encoded as bytes with signed int8 precision (this is a synonym of `binary`).
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`model_id`:::
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(Optional, string)
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// TEST[skip:TBD]
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For more examples, also review the
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https://docs.cohere.com/docs/elasticsearch-and-cohere#rerank-search-results-with-cohere-and-elasticsearch[Cohere documentation].
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https://docs.cohere.com/docs/elasticsearch-and-cohere#rerank-search-results-with-cohere-and-elasticsearch[Cohere documentation].

‎server/src/main/java/org/elasticsearch/TransportVersions.java

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@@ -178,6 +178,7 @@ static TransportVersion def(int id) {
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public static final TransportVersion TIMEOUT_GET_PARAM_FOR_RESOLVE_CLUSTER = def(8_838_0_00);
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public static final TransportVersion INFERENCE_REQUEST_ADAPTIVE_RATE_LIMITING = def(8_839_0_00);
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public static final TransportVersion ML_INFERENCE_IBM_WATSONX_RERANK_ADDED = def(8_840_0_00);
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public static final TransportVersion COHERE_BIT_EMBEDDING_TYPE_SUPPORT_ADDED_BACKPORT_8_X = def(8_840_0_01);
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/*
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* STOP! READ THIS FIRST! No, really,

‎x-pack/plugin/core/src/main/java/org/elasticsearch/xpack/core/inference/results/InferenceByteEmbedding.java

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/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the Elastic License
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* 2.0; you may not use this file except in compliance with the Elastic License
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* 2.0.
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*
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* this file was contributed to by a generative AI
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*/
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package org.elasticsearch.xpack.core.inference.results;
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import org.elasticsearch.common.Strings;
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import org.elasticsearch.common.io.stream.StreamInput;
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import org.elasticsearch.common.io.stream.StreamOutput;
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import org.elasticsearch.common.io.stream.Writeable;
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import org.elasticsearch.xcontent.ToXContentObject;
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import org.elasticsearch.xcontent.XContentBuilder;
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import java.io.IOException;
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import java.util.Arrays;
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import java.util.List;
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public record InferenceByteEmbedding(byte[] values) implements Writeable, ToXContentObject, EmbeddingInt {
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public static final String EMBEDDING = "embedding";
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public InferenceByteEmbedding(StreamInput in) throws IOException {
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this(in.readByteArray());
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}
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@Override
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public void writeTo(StreamOutput out) throws IOException {
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out.writeByteArray(values);
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}
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public static InferenceByteEmbedding of(List<Byte> embeddingValuesList) {
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byte[] embeddingValues = new byte[embeddingValuesList.size()];
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for (int i = 0; i < embeddingValuesList.size(); i++) {
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embeddingValues[i] = embeddingValuesList.get(i);
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}
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return new InferenceByteEmbedding(embeddingValues);
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
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builder.startObject();
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builder.startArray(EMBEDDING);
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for (byte value : values) {
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builder.value(value);
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}
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builder.endArray();
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builder.endObject();
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return builder;
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}
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@Override
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public String toString() {
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return Strings.toString(this);
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}
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float[] toFloatArray() {
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float[] floatArray = new float[values.length];
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for (int i = 0; i < values.length; i++) {
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floatArray[i] = ((Byte) values[i]).floatValue();
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}
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return floatArray;
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}
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double[] toDoubleArray() {
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double[] doubleArray = new double[values.length];
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for (int i = 0; i < values.length; i++) {
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doubleArray[i] = ((Byte) values[i]).doubleValue();
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}
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return doubleArray;
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}
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@Override
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public int getSize() {
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return values().length;
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}
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@Override
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public boolean equals(Object o) {
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if (this == o) return true;
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if (o == null || getClass() != o.getClass()) return false;
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InferenceByteEmbedding embedding = (InferenceByteEmbedding) o;
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return Arrays.equals(values, embedding.values);
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}
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@Override
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public int hashCode() {
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return Arrays.hashCode(values);
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}
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}

‎x-pack/plugin/core/src/main/java/org/elasticsearch/xpack/core/inference/results/InferenceTextEmbeddingBitResults.java

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/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the Elastic License
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* 2.0; you may not use this file except in compliance with the Elastic License
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* 2.0.
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*
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* this file was contributed to by a generative AI
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*/
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package org.elasticsearch.xpack.core.inference.results;
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import org.elasticsearch.common.io.stream.StreamInput;
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import org.elasticsearch.common.io.stream.StreamOutput;
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import org.elasticsearch.common.xcontent.ChunkedToXContent;
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import org.elasticsearch.inference.InferenceResults;
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import org.elasticsearch.inference.InferenceServiceResults;
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import org.elasticsearch.xcontent.ToXContent;
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import org.elasticsearch.xpack.core.ml.inference.results.MlTextEmbeddingResults;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Iterator;
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import java.util.LinkedHashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.Objects;
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/**
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* Writes a text embedding result in the follow json format
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* {
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* "text_embedding_bytes": [
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* {
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* "embedding": [
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* 23
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* ]
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* },
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* {
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* "embedding": [
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* -23
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* ]
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* }
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* ]
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* }
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*/
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public record InferenceTextEmbeddingBitResults(List<InferenceByteEmbedding> embeddings) implements InferenceServiceResults, TextEmbedding {
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public static final String NAME = "text_embedding_service_bit_results";
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public static final String TEXT_EMBEDDING_BITS = "text_embedding_bits";
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public InferenceTextEmbeddingBitResults(StreamInput in) throws IOException {
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this(in.readCollectionAsList(InferenceByteEmbedding::new));
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}
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@Override
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public int getFirstEmbeddingSize() {
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return TextEmbeddingUtils.getFirstEmbeddingSize(new ArrayList<>(embeddings));
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}
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@Override
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public Iterator<? extends ToXContent> toXContentChunked(ToXContent.Params params) {
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return ChunkedToXContent.builder(params).array(TEXT_EMBEDDING_BITS, embeddings.iterator());
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}
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@Override
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public void writeTo(StreamOutput out) throws IOException {
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out.writeCollection(embeddings);
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}
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@Override
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public String getWriteableName() {
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return NAME;
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}
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@Override
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public List<? extends InferenceResults> transformToCoordinationFormat() {
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return embeddings.stream()
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.map(embedding -> new MlTextEmbeddingResults(TEXT_EMBEDDING_BITS, embedding.toDoubleArray(), false))
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.toList();
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}
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@Override
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@SuppressWarnings("deprecation")
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public List<? extends InferenceResults> transformToLegacyFormat() {
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var legacyEmbedding = new LegacyTextEmbeddingResults(
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embeddings.stream().map(embedding -> new LegacyTextEmbeddingResults.Embedding(embedding.toFloatArray())).toList()
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);
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return List.of(legacyEmbedding);
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}
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public Map<String, Object> asMap() {
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Map<String, Object> map = new LinkedHashMap<>();
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map.put(TEXT_EMBEDDING_BITS, embeddings);
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return map;
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}
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@Override
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public boolean equals(Object o) {
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if (this == o) return true;
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if (o == null || getClass() != o.getClass()) return false;
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InferenceTextEmbeddingBitResults that = (InferenceTextEmbeddingBitResults) o;
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return Objects.equals(embeddings, that.embeddings);
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}
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@Override
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public int hashCode() {
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return Objects.hash(embeddings);
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}
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}

‎x-pack/plugin/core/src/main/java/org/elasticsearch/xpack/core/inference/results/InferenceTextEmbeddingByteResults.java

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package org.elasticsearch.xpack.core.inference.results;
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import org.elasticsearch.common.Strings;
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import org.elasticsearch.common.io.stream.StreamInput;
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import org.elasticsearch.common.io.stream.StreamOutput;
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import org.elasticsearch.common.io.stream.Writeable;
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import org.elasticsearch.common.xcontent.ChunkedToXContent;
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import org.elasticsearch.inference.InferenceResults;
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import org.elasticsearch.inference.InferenceServiceResults;
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import org.elasticsearch.xcontent.ToXContent;
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import org.elasticsearch.xcontent.ToXContentObject;
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import org.elasticsearch.xcontent.XContentBuilder;
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import org.elasticsearch.xpack.core.ml.inference.results.MlTextEmbeddingResults;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.Iterator;
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import java.util.LinkedHashMap;
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import java.util.List;
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/**
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* Writes a text embedding result in the follow json format
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* {
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* "text_embedding": [
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* "text_embedding_bytes": [
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* {
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* "embedding": [
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* 23
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public int hashCode() {
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return Objects.hash(embeddings);
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}
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public record InferenceByteEmbedding(byte[] values) implements Writeable, ToXContentObject, EmbeddingInt {
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public static final String EMBEDDING = "embedding";
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public InferenceByteEmbedding(StreamInput in) throws IOException {
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this(in.readByteArray());
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}
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@Override
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public void writeTo(StreamOutput out) throws IOException {
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out.writeByteArray(values);
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}
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public static InferenceByteEmbedding of(List<Byte> embeddingValuesList) {
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byte[] embeddingValues = new byte[embeddingValuesList.size()];
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for (int i = 0; i < embeddingValuesList.size(); i++) {
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embeddingValues[i] = embeddingValuesList.get(i);
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}
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return new InferenceByteEmbedding(embeddingValues);
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}
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@Override
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public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
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builder.startObject();
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builder.startArray(EMBEDDING);
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for (byte value : values) {
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builder.value(value);
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}
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builder.endArray();
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builder.endObject();
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return builder;
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}
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@Override
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public String toString() {
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return Strings.toString(this);
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}
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private float[] toFloatArray() {
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float[] floatArray = new float[values.length];
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for (int i = 0; i < values.length; i++) {
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floatArray[i] = ((Byte) values[i]).floatValue();
158-
}
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return floatArray;
160-
}
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private double[] toDoubleArray() {
163-
double[] doubleArray = new double[values.length];
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for (int i = 0; i < values.length; i++) {
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doubleArray[i] = ((Byte) values[i]).floatValue();
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}
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return doubleArray;
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}
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@Override
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public int getSize() {
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return values().length;
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}
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@Override
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public boolean equals(Object o) {
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if (this == o) return true;
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if (o == null || getClass() != o.getClass()) return false;
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InferenceByteEmbedding embedding = (InferenceByteEmbedding) o;
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return Arrays.equals(values, embedding.values);
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}
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@Override
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public int hashCode() {
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return Arrays.hashCode(values);
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}
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}
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}

‎x-pack/plugin/inference/src/main/java/org/elasticsearch/xpack/inference/chunking/EmbeddingRequestChunker.java

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import org.elasticsearch.xpack.core.inference.results.ChunkedInferenceEmbeddingFloat;
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import org.elasticsearch.xpack.core.inference.results.ChunkedInferenceEmbeddingSparse;
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import org.elasticsearch.xpack.core.inference.results.ChunkedInferenceError;
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import org.elasticsearch.xpack.core.inference.results.InferenceByteEmbedding;
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import org.elasticsearch.xpack.core.inference.results.InferenceTextEmbeddingByteResults;
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import org.elasticsearch.xpack.core.inference.results.InferenceTextEmbeddingFloatResults;
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import org.elasticsearch.xpack.core.inference.results.SparseEmbeddingResults;
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private List<ChunkOffsetsAndInput> chunkedOffsets;
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private List<AtomicArray<List<InferenceTextEmbeddingFloatResults.InferenceFloatEmbedding>>> floatResults;
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private List<AtomicArray<List<InferenceTextEmbeddingByteResults.InferenceByteEmbedding>>> byteResults;
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private List<AtomicArray<List<InferenceByteEmbedding>>> byteResults;
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private List<AtomicArray<List<SparseEmbeddingResults.Embedding>>> sparseResults;
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private AtomicArray<Exception> errors;
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private ActionListener<List<ChunkedInference>> finalListener;
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private ChunkedInferenceEmbeddingByte mergeByteResultsWithInputs(
391392
ChunkOffsetsAndInput chunks,
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AtomicArray<List<InferenceTextEmbeddingByteResults.InferenceByteEmbedding>> debatchedResults
393+
AtomicArray<List<InferenceByteEmbedding>> debatchedResults
393394
) {
394-
var all = new ArrayList<InferenceTextEmbeddingByteResults.InferenceByteEmbedding>();
395+
var all = new ArrayList<InferenceByteEmbedding>();
395396
for (int i = 0; i < debatchedResults.length(); i++) {
396397
var subBatch = debatchedResults.get(i);
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all.addAll(subBatch);

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