Add filter-based deletion to MongoDB Atlas vector store

Add string-based filter deletion alongside the Filter.Expression-based deletion
for MongoDB Atlas vector store, providing consistent deletion capabilities with
other vector store implementations.

Key changes:
- Add delete(Filter.Expression) implementation for MongoDB Atlas store
- Leverage existing MongoDBAtlasFilterExpressionConverter for filter translation
- Use MongoTemplate's native query capabilities for deletion
- Add comprehensive integration tests for filter deletion
- Support both simple and complex filter expressions

This maintains consistency with other vector store implementations while
utilizing MongoDB-specific query capabilities for efficient metadata-based deletion.

Author: sobychacko

vector-stores/spring-ai-mongodb-atlas-store/src/main/java/org/springframework/ai/vectorstore/mongodb/atlas/MongoDBAtlasVectorStore.java

@@ -23,23 +23,25 @@
 import java.util.Optional;
 
 import com.mongodb.MongoCommandException;
+import com.mongodb.client.result.DeleteResult;
+import org.springframework.core.log.LogAccessor;
 
 import org.springframework.ai.document.Document;
 import org.springframework.ai.document.DocumentMetadata;
-import org.springframework.ai.embedding.BatchingStrategy;
 import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.embedding.EmbeddingOptionsBuilder;
-import org.springframework.ai.embedding.TokenCountBatchingStrategy;
 import org.springframework.ai.model.EmbeddingUtils;
 import org.springframework.ai.observation.conventions.VectorStoreProvider;
 import org.springframework.ai.vectorstore.AbstractVectorStoreBuilder;
 import org.springframework.ai.vectorstore.SearchRequest;
+import org.springframework.ai.vectorstore.filter.Filter;
 import org.springframework.ai.vectorstore.observation.AbstractObservationVectorStore;
 import org.springframework.ai.vectorstore.observation.VectorStoreObservationContext;
 import org.springframework.beans.factory.InitializingBean;
 import org.springframework.data.mongodb.UncategorizedMongoDbException;
 import org.springframework.data.mongodb.core.MongoTemplate;
 import org.springframework.data.mongodb.core.aggregation.Aggregation;
+import org.springframework.data.mongodb.core.query.BasicQuery;
 import org.springframework.data.mongodb.core.query.Criteria;
 import org.springframework.data.mongodb.core.query.Query;
 import org.springframework.util.Assert;
@@ -125,6 +127,8 @@
  */
 public class MongoDBAtlasVectorStore extends AbstractObservationVectorStore implements InitializingBean {
 
+	private static final LogAccessor logger = new LogAccessor(MongoDBAtlasVectorStore.class);
+
 	public static final String ID_FIELD_NAME = "_id";
 
 	public static final String METADATA_FIELD_NAME = "metadata";
@@ -272,6 +276,22 @@ public Optional<Boolean> doDelete(List<String> idList) {
 		return Optional.of(deleteCount == idList.size());
 	}
 
+	@Override
+	protected void doDelete(Filter.Expression filterExpression) {
+		Assert.notNull(filterExpression, "Filter expression must not be null");
+
+		try {
+			String nativeFilterExpression = this.filterExpressionConverter.convertExpression(filterExpression);
+			BasicQuery query = new BasicQuery(nativeFilterExpression);
+			DeleteResult deleteResult = this.mongoTemplate.remove(query, this.collectionName);
+
+			logger.debug("Deleted " + deleteResult.getDeletedCount() + " documents matching filter expression");
+		}
+		catch (Exception e) {
+			throw new IllegalStateException("Failed to delete documents by filter", e);
+		}
+	}
+
 	@Override
 	public List<Document> similaritySearch(String query) {
 		return similaritySearch(SearchRequest.builder().query(query).build());

vector-stores/spring-ai-mongodb-atlas-store/src/test/java/org/springframework/ai/vectorstore/mongodb/atlas/MongoDBAtlasVectorStoreIT.java

@@ -1,5 +1,5 @@
 /*
- * Copyright 2023-2024 the original author or authors.
+ * Copyright 2023-2025 the original author or authors.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -40,6 +40,7 @@
 import org.springframework.ai.openai.api.OpenAiApi;
 import org.springframework.ai.vectorstore.SearchRequest;
 import org.springframework.ai.vectorstore.VectorStore;
+import org.springframework.ai.vectorstore.filter.Filter;
 import org.springframework.boot.SpringBootConfiguration;
 import org.springframework.boot.autoconfigure.EnableAutoConfiguration;
 import org.springframework.boot.test.context.runner.ApplicationContextRunner;
@@ -255,6 +256,105 @@ public void searchWithThreshold() {
 		});
 	}
 
+	@Test
+	void deleteByFilter() {
+		this.contextRunner.run(context -> {
+			VectorStore vectorStore = context.getBean(VectorStore.class);
+
+			var bgDocument = new Document("The World is Big and Salvation Lurks Around the Corner",
+					Map.of("country", "BG", "year", 2020));
+			var nlDocument = new Document("The World is Big and Salvation Lurks Around the Corner",
+					Map.of("country", "NL", "year", 2021));
+			var bgDocument2 = new Document("The World is Big and Salvation Lurks Around the Corner",
+					Map.of("country", "BG", "year", 2023));
+
+			vectorStore.add(List.of(bgDocument, nlDocument, bgDocument2));
+			Thread.sleep(5000); // Wait for indexing
+
+			SearchRequest searchRequest = SearchRequest.builder()
+				.query("The World")
+				.topK(5)
+				.similarityThresholdAll()
+				.build();
+
+			List<Document> results = vectorStore.similaritySearch(searchRequest);
+			assertThat(results).hasSize(3);
+
+			Filter.Expression filterExpression = new Filter.Expression(Filter.ExpressionType.EQ,
+					new Filter.Key("country"), new Filter.Value("BG"));
+
+			vectorStore.delete(filterExpression);
+			Thread.sleep(1000); // Wait for deletion to be processed
+
+			results = vectorStore.similaritySearch(searchRequest);
+			assertThat(results).hasSize(1);
+			assertThat(results.get(0).getMetadata()).containsEntry("country", "NL");
+		});
+	}
+
+	@Test
+	void deleteWithStringFilterExpression() {
+		this.contextRunner.run(context -> {
+			VectorStore vectorStore = context.getBean(VectorStore.class);
+
+			var bgDocument = new Document("The World is Big and Salvation Lurks Around the Corner",
+					Map.of("country", "BG", "year", 2020));
+			var nlDocument = new Document("The World is Big and Salvation Lurks Around the Corner",
+					Map.of("country", "NL", "year", 2021));
+			var bgDocument2 = new Document("The World is Big and Salvation Lurks Around the Corner",
+					Map.of("country", "BG", "year", 2023));
+
+			vectorStore.add(List.of(bgDocument, nlDocument, bgDocument2));
+			Thread.sleep(5000); // Wait for indexing
+
+			var searchRequest = SearchRequest.builder().query("The World").topK(5).similarityThresholdAll().build();
+
+			List<Document> results = vectorStore.similaritySearch(searchRequest);
+			assertThat(results).hasSize(3);
+
+			vectorStore.delete("country == 'BG'");
+			Thread.sleep(1000); // Wait for deletion to be processed
+
+			results = vectorStore.similaritySearch(searchRequest);
+			assertThat(results).hasSize(1);
+			assertThat(results.get(0).getMetadata()).containsEntry("country", "NL");
+		});
+	}
+
+	@Test
+	void deleteWithComplexFilterExpression() {
+		this.contextRunner.run(context -> {
+			VectorStore vectorStore = context.getBean(VectorStore.class);
+
+			var doc1 = new Document("Content 1", Map.of("type", "A", "priority", 1));
+			var doc2 = new Document("Content 2", Map.of("type", "A", "priority", 2));
+			var doc3 = new Document("Content 3", Map.of("type", "B", "priority", 1));
+
+			vectorStore.add(List.of(doc1, doc2, doc3));
+			Thread.sleep(5000); // Wait for indexing
+
+			// Complex filter expression: (type == 'A' AND priority > 1)
+			Filter.Expression priorityFilter = new Filter.Expression(Filter.ExpressionType.GT,
+					new Filter.Key("priority"), new Filter.Value(1));
+			Filter.Expression typeFilter = new Filter.Expression(Filter.ExpressionType.EQ, new Filter.Key("type"),
+					new Filter.Value("A"));
+			Filter.Expression complexFilter = new Filter.Expression(Filter.ExpressionType.AND, typeFilter,
+					priorityFilter);
+
+			vectorStore.delete(complexFilter);
+			Thread.sleep(1000); // Wait for deletion to be processed
+
+			var results = vectorStore
+				.similaritySearch(SearchRequest.builder().query("Content").topK(5).similarityThresholdAll().build());
+
+			assertThat(results).hasSize(2);
+			assertThat(results.stream().map(doc -> doc.getMetadata().get("type")).collect(Collectors.toList()))
+				.containsExactlyInAnyOrder("A", "B");
+			assertThat(results.stream().map(doc -> doc.getMetadata().get("priority")).collect(Collectors.toList()))
+				.containsExactlyInAnyOrder(1, 1);
+		});
+	}
+
 	public static String getText(String uri) {
 		var resource = new DefaultResourceLoader().getResource(uri);
 		try {