ESQL: dense_vector cosine similarity function #130641

carlosdelest · 2025-07-04T14:50:12Z

tracked in #130828
Implements CosineSimilarityFunction for ES|QL, and adds basic infrastructure for other vector similarity functions.

FROM colors
 | EVAL similarity = V_COSINE(rgb_vector, [0, 255, 255]) 
 | SOR similarity DESC

Adds a base class, VectorSimilarityFunction, that provides the building block for vector similarity functions.

There are pending validations that should be done for the function parameters:

Same number of dimensions
Same underlying dense_vector field type

We can work on these validations as follow ups, as they may depend on field_caps API returning that information.

carlosdelest · 2025-07-04T14:53:49Z

...n/java/org/elasticsearch/xpack/esql/expression/function/vector/VectorSimilarityFunction.java

+                        FloatBlock leftBlock = (FloatBlock) left.get(context).eval(page);
+                        FloatBlock rightBlock = (FloatBlock) right.get(context).eval(page)
+                    ) {
+                        int positionCount = page.getPositionCount();


@ChrisHegarty I'm wondering if this is the right way to provide an evaluation for dense_vector based operations. Besides vector similarity functions, we will create vector operations (add, substract, dot product, etc).

Do you think we should create the necessary infrastructure for template based evaluators, or should having this ad-hoc evaluation work?

Is there anything we should be careful about when doing ad-hoc evaluation for vectorization purposes?

I think that this is fine. The vectorization that we are looking for here is in the comparison operation itself, so when comparing float[]'s. Ultimately tho, we would want to be able to compare against mmap'ed off-heap data, but that is completely separate and can come later - since it would require a block backed by a memory segment. We had similar(ish), though different, with big array blocks. Would need to re-check the details.

… FloatBlocks

carlosdelest · 2025-07-07T09:16:10Z

x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/analysis/Analyzer.java

            if (f instanceof In in) {
                return processIn(in);
            }
+            if (f instanceof VectorFunction) {


Needed to change the order to ensure VectorFunction are processed first, as similarity functions are scalar functions as well

carlosdelest · 2025-07-07T09:33:32Z

x-pack/plugin/esql/qa/testFixtures/src/main/resources/vector-cosine-similarity.csv-spec

+required_capability: cosine_vector_similarity_function
+
+row vector = [1, 2, 3] 
+| eval similarity = round(v_cosine(vector, [0, 1, 2]), 3) 


For this to work properly, we need to implement a conversion function so we can convert non-foldable values to dense_vector.

elasticsearchmachine · 2025-07-07T11:58:50Z

Pinging @elastic/es-analytical-engine (Team:Analytics)

kderusso

Nice work @carlosdelest !

kderusso · 2025-07-07T13:54:55Z

...l/src/main/java/org/elasticsearch/xpack/esql/expression/function/vector/VectorWritables.java

+/**
+ * Defines the named writables for vector functions in ESQL.
+ */
+public final class VectorWritables {


Not sure if we need this utility class just yet, but I'll assume you have plans to add more :)

Haha yeah, it's a bit premature yet - but we will be adding a number of vector similarity functions soon enough, and I wanted to provide places where it would be easy to look for them.

kderusso · 2025-07-07T13:55:55Z

x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/evaluator/EvalMapper.java

                }
-                var wrapper = BlockUtils.wrapperFor(blockFactory, ElementType.fromJava(multiValue.get(0).getClass()), positions);
+                // dense_vector create internally float values, even if they are specified as doubles
+                ElementType elementType = lit.dataType() == DataType.DENSE_VECTOR


Should this logic be in its own method?

I'd say no as this is a one-liner for getting the correct ElementType - there's no more logic than doing a specific check for dense_vector. I'd say, ff more special cases come into play then let's add it as it will become confusing.

svilen-mihaylov-elastic · 2025-07-07T15:02:17Z

.../src/main/java/org/elasticsearch/xpack/esql/expression/function/vector/CosineSimilarity.java

+
+import static org.apache.lucene.index.VectorSimilarityFunction.COSINE;
+
+public class CosineSimilarity extends VectorSimilarityFunction {


Do you need to subclass different types of functions here? Why not just have an enum which specifies the type in VectorSimilarityFunction?

Good point - I think this aligns better with the current way ESQL functions work. I'm not sure that docs generation work with enums as of now as well.

Happy to review this when adding more functions though!

…ch-functions-basics' into non-issue/esql-vector-search-functions-basics

…-search-functions-basics

ioanatia

are we missing the docs that will be generated for the v_cosine function?
otherwise LGTM

…milarityFunction to extend BinaryScalarFunction

…and folding done

github-actions · 2025-07-08T11:49:48Z

🔍 Preview links for changed docs

docs/reference/query-languages/esql/kibana/docs/functions/v_cosine.md

…nts when casting

carlosdelest · 2025-07-08T12:01:19Z

...n/java/org/elasticsearch/xpack/esql/expression/function/vector/VectorSimilarityFunction.java

+/**
+ * Base class for vector similarity functions, which compute a similarity score between two dense vectors
+ */
+public abstract class VectorSimilarityFunction extends BinaryScalarFunction implements EvaluatorMapper, VectorFunction {


Now VectorSimilarityFunction extends BinaryScalarFunction. That brings some simplifications to the code as we already have two params.

carlosdelest · 2025-07-08T12:02:10Z

x-pack/plugin/esql/src/test/java/org/elasticsearch/xpack/esql/analysis/AnalyzerTests.java

+    public void testDenseVectorImplicitCastingSimilarityFunctions() {
+        if (EsqlCapabilities.Cap.COSINE_VECTOR_SIMILARITY_FUNCTION.isEnabled()) {
+            checkDenseVectorImplicitCastingSimilarityFunction("v_cosine(vector, [0.342, 0.164, 0.234])", List.of(0.342f, 0.164f, 0.234f));
+            checkDenseVectorImplicitCastingSimilarityFunction("v_cosine(vector, [1, 2, 3])", List.of(1f, 2f, 3f));


Checks casting is done for non-float values, and creates a float Literal

carlosdelest · 2025-07-08T12:03:03Z

...icsearch/xpack/esql/expression/function/vector/AbstractVectorSimilarityFunctionTestCase.java

+import static org.elasticsearch.xpack.esql.core.type.DataType.DOUBLE;
+import static org.hamcrest.Matchers.equalTo;
+
+public abstract class AbstractVectorSimilarityFunctionTestCase extends AbstractScalarFunctionTestCase {


New test case added that extends AbstractScalarFunctionTestCase. This brings quite a few tests like checking what happens with null values, evaluator type checks, etc.

carlosdelest · 2025-07-08T12:03:44Z

...test/java/org/elasticsearch/xpack/esql/expression/function/vector/CosineSimilarityTests.java

+import java.util.function.Supplier;
+
+@FunctionName("v_cosine")
+public class CosineSimilarityTests extends AbstractVectorSimilarityFunctionTestCase {


New functions test cases should be simple, all the heavy lifting is done in the abstract class

carlosdelest · 2025-07-08T12:05:01Z

are we missing the docs that will be generated for the v_cosine function?

@ioanatia 🤦 yes we were. There were no AbstractFunctionTestCase test. I just added that along with some changes to implicit casting. Thanks!

…-search-functions-basics

…ch-functions-basics' into non-issue/esql-vector-search-functions-basics

carlosdelest added 6 commits July 4, 2025 13:12

Add CosineSimilarity function

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Add IT

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Refactor

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Extract superclass, use overriden method

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Use lambda instead of overriden methods

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Refactoring

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carlosdelest added >non-issue :Analytics/ES|QL AKA ESQL Team:Search Relevance Meta label for the Search Relevance team in Elasticsearch v9.2.0 labels Jul 4, 2025

Refactoring

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carlosdelest commented Jul 4, 2025

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carlosdelest added 7 commits July 4, 2025 18:42

Allow using literals for dense_vectors, converting them internally to…

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… FloatBlocks

Add test

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Test non-null args

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Rename to v_cosine, add analyzer tests for implicit casting

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First CSV tests

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carlosdelest changed the title ~~ESQL: Basic infrastructure for dense vector similarity functions~~ ESQL: dense_vector cosine similarity function Jul 7, 2025

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carlosdelest marked this pull request as ready for review July 7, 2025 11:58

elasticsearchmachine added Team:Analytics Meta label for analytical engine team (ESQL/Aggs/Geo) and removed Team:Search Relevance Meta label for the Search Relevance team in Elasticsearch labels Jul 7, 2025

carlosdelest requested a review from tteofili July 7, 2025 11:58

carlosdelest requested a review from svilen-mihaylov-elastic July 7, 2025 11:58

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carlosdelest added 3 commits July 7, 2025 19:25

Add checks for different number of dimensions

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…ch-functions-basics' into non-issue/esql-vector-search-functions-basics

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carlosdelest added 4 commits July 8, 2025 12:49

Add test infrastructure for VectorSimilarityFunction. Change VectorSi…

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…milarityFunction to extend BinaryScalarFunction

Ensure casting is done using floats so we get the appropriate blocks …

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…and folding done

Generate docs for function

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carlosdelest added 3 commits July 8, 2025 13:51

Fix tests

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Remove unnecessary change to BlockUtis now that we create float eleme…

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…nts when casting

Remove unnecessary change to BlockUtis now that we create float eleme…

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…nts when casting

carlosdelest commented Jul 8, 2025

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carlosdelest requested a review from ioanatia July 8, 2025 12:05

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carlosdelest mentioned this pull request Jul 8, 2025

ES|QL - dense_vector exact (brute force) search support #130828

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Merge branch 'main' into non-issue/esql-vector-search-functions-basics

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carlosdelest merged commit f1ddd4c into elastic:main Jul 15, 2025
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		import static org.apache.lucene.index.VectorSimilarityFunction.COSINE;

		public class CosineSimilarity extends VectorSimilarityFunction {

ESQL: dense_vector cosine similarity function #130641

ESQL: dense_vector cosine similarity function #130641

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carlosdelest commented Jul 4, 2025 • edited by ioanatia Loading Uh oh! There was an error while loading. Please reload this page.

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carlosdelest commented Jul 8, 2025

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carlosdelest commented Jul 4, 2025 •

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