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Add filter-based deletion to Oracle vector store #2130

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Original file line number Diff line number Diff line change
Expand Up @@ -39,14 +39,13 @@

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.observation.conventions.VectorStoreProvider;
import org.springframework.ai.observation.conventions.VectorStoreSimilarityMetric;
import org.springframework.ai.vectorstore.AbstractVectorStoreBuilder;
import org.springframework.ai.vectorstore.SearchRequest;
import org.springframework.ai.vectorstore.filter.Filter;
import org.springframework.ai.vectorstore.filter.FilterExpressionConverter;
import org.springframework.ai.vectorstore.observation.AbstractObservationVectorStore;
import org.springframework.ai.vectorstore.observation.VectorStoreObservationContext;
Expand Down Expand Up @@ -311,6 +310,25 @@ public Optional<Boolean> doDelete(final 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 jsonPath = this.filterExpressionConverter.convertExpression(filterExpression);
String sql = String.format("DELETE FROM %s WHERE JSON_EXISTS(metadata, '%s')", this.tableName, jsonPath);

logger.debug("Executing delete with filter: {}", sql);

int deletedCount = this.jdbcTemplate.update(sql);
logger.debug("Deleted {} documents matching filter expression", deletedCount);
}
catch (Exception e) {
logger.error("Failed to delete documents by filter: {}", e.getMessage(), e);
throw new IllegalStateException("Failed to delete documents by filter", e);
}
}

@Override
public List<Document> doSimilaritySearch(SearchRequest request) {
try {
Expand Down
Original file line number Diff line number Diff line change
@@ -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.
Expand All @@ -23,12 +23,14 @@
import java.util.List;
import java.util.Map;
import java.util.UUID;
import java.util.stream.Collectors;

import javax.sql.DataSource;

import oracle.jdbc.pool.OracleDataSource;
import org.junit.Assert;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.CsvSource;
import org.junit.jupiter.params.provider.ValueSource;
Expand All @@ -43,6 +45,7 @@
import org.springframework.ai.transformers.TransformersEmbeddingModel;
import org.springframework.ai.vectorstore.SearchRequest;
import org.springframework.ai.vectorstore.VectorStore;
import org.springframework.ai.vectorstore.filter.Filter;
import org.springframework.ai.vectorstore.filter.FilterExpressionTextParser;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.SpringBootConfiguration;
Expand Down Expand Up @@ -313,6 +316,110 @@ public void searchWithThreshold(String distanceType) {
});
}

@Test
void deleteByFilter() {
this.contextRunner
.withPropertyValues("test.spring.ai.vectorstore.oracle.distanceType=COSINE",
"test.spring.ai.vectorstore.oracle.searchAccuracy=" + OracleVectorStore.DEFAULT_SEARCH_ACCURACY)
.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"));
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));

Filter.Expression filterExpression = new Filter.Expression(Filter.ExpressionType.EQ,
new Filter.Key("country"), new Filter.Value("BG"));

vectorStore.delete(filterExpression);

List<Document> results = vectorStore.similaritySearch(
SearchRequest.builder().query("The World").topK(5).similarityThresholdAll().build());

assertThat(results).hasSize(1);
assertThat(results.get(0).getMetadata()).containsKey("country")
.hasEntrySatisfying("country",
value -> assertThat(value.toString().replace("\"", "")).isEqualTo("NL"));

dropTable(context, ((OracleVectorStore) vectorStore).getTableName());
});
}

@Test
void deleteWithStringFilterExpression() {
this.contextRunner
.withPropertyValues("test.spring.ai.vectorstore.oracle.distanceType=COSINE",
"test.spring.ai.vectorstore.oracle.searchAccuracy=" + OracleVectorStore.DEFAULT_SEARCH_ACCURACY)
.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"));
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));

vectorStore.delete("country == 'BG'");

List<Document> results = vectorStore.similaritySearch(
SearchRequest.builder().query("The World").topK(5).similarityThresholdAll().build());

assertThat(results).hasSize(1);
assertThat(results.get(0).getMetadata()).containsKey("country")
.hasEntrySatisfying("country",
value -> assertThat(value.toString().replace("\"", "")).isEqualTo("NL"));

dropTable(context, ((OracleVectorStore) vectorStore).getTableName());
});
}

@Test
void deleteWithComplexFilterExpression() {
this.contextRunner
.withPropertyValues("test.spring.ai.vectorstore.oracle.distanceType=COSINE",
"test.spring.ai.vectorstore.oracle.searchAccuracy=" + OracleVectorStore.DEFAULT_SEARCH_ACCURACY)
.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));

// 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);

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").toString().replace("\"", ""))
.collect(Collectors.toList())).containsExactlyInAnyOrder("A", "B");
assertThat(results.stream()
.map(doc -> Integer.parseInt(doc.getMetadata().get("priority").toString()))
.collect(Collectors.toList())).containsExactlyInAnyOrder(1, 1);

dropTable(context, ((OracleVectorStore) vectorStore).getTableName());
});
}

@SpringBootConfiguration
@EnableAutoConfiguration(exclude = { DataSourceAutoConfiguration.class })
public static class TestClient {
Expand Down