Oracle 向量数据库

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

# Oracle 向量数据库配置
spring.ai.oracle.vectordb.enabled=true
spring.ai.oracle.vectordb.url=jdbc:oracle:thin:@localhost:1521:XE
spring.ai.oracle.vectordb.username=system
spring.ai.oracle.vectordb.password=oracle
spring.ai.oracle.vectordb.table-name=vectors

@Service
public class OracleVectorService {
    private final OracleVectorClient vectorClient;

    public OracleVectorService(OracleVectorClient 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 OracleVectorStorageConfig {
    @Bean
    public VectorStorage oracleVectorStorage(OracleVectorProperties properties) {
        return new OracleVectorStorage(properties);
    }
}

@Configuration
public class OracleSimilaritySearchConfig {
    @Bean
    public SimilaritySearch oracleSimilaritySearch(OracleVectorProperties properties) {
        return new OracleSimilaritySearch(properties);
    }
}

@Service
public class TableService {
    private final OracleVectorClient vectorClient;

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

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

@Configuration
public class TableConfig {
    @Bean
    public TableConfig tableConfig() {
        return TableConfig.builder()
            .name("custom_vectors")
            .vectorColumn("vector")
            .metadataColumns(Arrays.asList("title", "content"))
            .build();
    }
}

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

@Configuration
public class SecurityConfig {
    @Bean
    public SecurityConfig securityConfig() {
        return SecurityConfig.builder()
            .encryptionEnabled(true)
            .auditEnabled(true)
            .build();
    }
}

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