MongoDB 向量数据库

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-mongodb-vectordb</artifactId>
    <version>${spring-ai.version}</version>
</dependency>

# MongoDB 向量数据库配置
spring.ai.mongodb.vectordb.enabled=true
spring.ai.mongodb.vectordb.uri=mongodb://localhost:27017
spring.ai.mongodb.vectordb.database=vectordb
spring.ai.mongodb.vectordb.collection=vectors

@Service
public class MongoDBVectorService {
    private final MongoDBVectorClient vectorClient;

    public MongoDBVectorService(MongoDBVectorClient vectorClient) {
        this.vectorClient = vectorClient;
    }

    public void storeVector(String id, float[] vector, Map<String, Object> metadata) {
        vectorClient.store(id, vector, metadata);
    }

    public List<SearchResult> searchSimilar(float[] queryVector, int k) {
        return vectorClient.search(queryVector, k);
    }
}

@Configuration
public class MongoDBVectorStorageConfig {
    @Bean
    public VectorStorage mongoDBVectorStorage(MongoDBVectorProperties properties) {
        return new MongoDBVectorStorage(properties);
    }
}

@Configuration
public class MongoDBSimilaritySearchConfig {
    @Bean
    public SimilaritySearch mongoDBSimilaritySearch(MongoDBVectorProperties properties) {
        return new MongoDBSimilaritySearch(properties);
    }
}

@Service
public class CollectionService {
    private final MongoDBVectorClient vectorClient;

    public void createCollection(String name, int dimension) {
        vectorClient.createCollection(name, dimension);
    }

    public void dropCollection(String name) {
        vectorClient.dropCollection(name);
    }
}

@Configuration
public class CollectionConfig {
    @Bean
    public CollectionConfig collectionConfig() {
        return CollectionConfig.builder()
            .name("custom-vectors")
            .dimension(1536)
            .indexType(IndexType.HNSW)
            .metricType(MetricType.COSINE)
            .build();
    }
}

@Configuration
public class IndexConfig {
    @Bean
    public IndexConfig indexConfig() {
        return IndexConfig.builder()
            .name("vector_index")
            .type(IndexType.HNSW)
            .dimension(1536)
            .build();
    }
}

management.endpoints.web.exposure.include=mongodb-vectordb
management.endpoint.mongodb-vectordb.enabled=true