Package com.bytedesk.ai.springai.rag

Class VectorStoreConfig

java.lang.Object

com.bytedesk.ai.springai.rag.VectorStoreConfig

@Configuration
public class VectorStoreConfig
extends Object

向量存储配置类 为不同的向量存储服务提供配置

Field Summary

Fields

Modifier and Type	Field	Description
private int	elasticsearchDimensions
private String	elasticsearchIndexName

Constructor Summary

Constructors

Constructor	Description
VectorStoreConfig()

Method Summary

Modifier and Type	Method	Description
org.springframework.ai.vectorstore.elasticsearch.ElasticsearchVectorStore	vectorStore(org.elasticsearch.client.RestClient restClient, org.springframework.ai.embedding.EmbeddingModel embeddingModel)	Elasticsearch向量存储配置 指定使用zhipuaiEmbeddingModel作为嵌入模型

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

elasticsearchIndexName

@Value("${spring.ai.vectorstore.elasticsearch.index-name}")
private String elasticsearchIndexName

elasticsearchDimensions

@Value("${spring.ai.vectorstore.elasticsearch.dimensions}")
private int elasticsearchDimensions

Constructor Details

VectorStoreConfig

public VectorStoreConfig()

Method Details

vectorStore

@Bean
@Primary
@ConditionalOnProperty(name="spring.ai.vectorstore.elasticsearch.enabled",
                       havingValue="true")
public org.springframework.ai.vectorstore.elasticsearch.ElasticsearchVectorStore vectorStore(org.elasticsearch.client.RestClient restClient,
 @Qualifier("bytedeskOllamaEmbeddingModel")
 org.springframework.ai.embedding.EmbeddingModel embeddingModel)

Elasticsearch向量存储配置 指定使用zhipuaiEmbeddingModel作为嵌入模型