序
本文主要研究一下Spring AI的ChromaVectorStore
示例
pom.xml
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-starter-vector-store-chroma</artifactId>
</dependency>
配置
spring:
ai:
vectorstore:
type: chroma
chroma:
initialize-schema: true
collectionName: "test1"
client:
host: http://localhost
port: 8000
代码
@Test
public void testAddAndSearch() {
List<Document> documents = List.of(
new Document("Spring AI rocks!! Spring AI rocks!! Spring AI rocks!! Spring AI rocks!! Spring AI rocks!!", Map.of("meta1", "meta1")),
new Document("The World is Big and Salvation Lurks Around the Corner"),
new Document("You walk forward facing the past and you turn back toward the future.", Map.of("meta2", "meta2")));
// Add the documents to Milvus Vector Store
chromaVectorStore.add(documents);
// Retrieve documents similar to a query
List<Document> results = this.chromaVectorStore.similaritySearch(SearchRequest.builder().query("Spring").topK(5).build());
log.info("results:{}", JSON.toJSONString(results));
}
输出如下:
results:[{"contentFormatter":{"excludedEmbedMetadataKeys":[],"excludedInferenceMetadataKeys":[],"metadataSeparator":"\n","metadataTemplate":"{key}: {value}","textTemplate":"{metadata_string}\n\n{content}"},"formattedContent":"distance: 0.4350912\nmeta1: meta1\n\nSpring AI rocks!! Spring AI rocks!! Spring AI rocks!! Spring AI rocks!! Spring AI rocks!!","id":"53ce7adb-07ba-429c-b443-40edffde2c89","metadata":{"distance":0.4350912,"meta1":"meta1"},"score":0.5649088025093079,"text":"Spring AI rocks!! Spring AI rocks!! Spring AI rocks!! Spring AI rocks!! Spring AI rocks!!"},{"contentFormatter":{"$ref":"$[0].contentFormatter"},"formattedContent":"distance: 0.57093126\n\nThe World is Big and Salvation Lurks Around the Corner","id":"cd79cfe8-8503-4e2e-bb1e-ec0e294bc800","metadata":{"distance":0.57093126},"score":0.42906874418258667,"text":"The World is Big and Salvation Lurks Around the Corner"},{"contentFormatter":{"$ref":"$[0].contentFormatter"},"formattedContent":"distance: 0.59360236\nmeta2: meta2\n\nYou walk forward facing the past and you turn back toward the future.","id":"f266f142-3044-4b09-8178-55abe6ef84c5","metadata":{"distance":0.59360236,"meta2":"meta2"},"score":0.40639764070510864,"text":"You walk forward facing the past and you turn back toward the future."}]
源码
ChromaVectorStoreAutoConfiguration
org/springframework/ai/vectorstore/chroma/autoconfigure/ChromaVectorStoreAutoConfiguration.java
@AutoConfiguration
@ConditionalOnClass({ EmbeddingModel.class, RestClient.class, ChromaVectorStore.class, ObjectMapper.class })
@EnableConfigurationProperties({ ChromaApiProperties.class, ChromaVectorStoreProperties.class })
@ConditionalOnProperty(name = SpringAIVectorStoreTypes.TYPE, havingValue = SpringAIVectorStoreTypes.CHROMA,
matchIfMissing = true)
public class ChromaVectorStoreAutoConfiguration {
@Bean
@ConditionalOnMissingBean(ChromaConnectionDetails.class)
PropertiesChromaConnectionDetails chromaConnectionDetails(ChromaApiProperties properties) {
return new PropertiesChromaConnectionDetails(properties);
}
@Bean
@ConditionalOnMissingBean
public ChromaApi chromaApi(ChromaApiProperties apiProperties,
ObjectProvider<RestClient.Builder> restClientBuilderProvider, ChromaConnectionDetails connectionDetails,
ObjectMapper objectMapper) {
String chromaUrl = String.format("%s:%s", connectionDetails.getHost(), connectionDetails.getPort());
var chromaApi = new ChromaApi(chromaUrl, restClientBuilderProvider.getIfAvailable(RestClient::builder),
objectMapper);
if (StringUtils.hasText(connectionDetails.getKeyToken())) {
chromaApi.withKeyToken(connectionDetails.getKeyToken());
}
else if (StringUtils.hasText(apiProperties.getUsername()) && StringUtils.hasText(apiProperties.getPassword())) {
chromaApi.withBasicAuthCredentials(apiProperties.getUsername(), apiProperties.getPassword());
}
return chromaApi;
}
@Bean
@ConditionalOnMissingBean(BatchingStrategy.class)
BatchingStrategy chromaBatchingStrategy() {
return new TokenCountBatchingStrategy();
}
@Bean
@ConditionalOnMissingBean
public ChromaVectorStore vectorStore(EmbeddingModel embeddingModel, ChromaApi chromaApi,
ChromaVectorStoreProperties storeProperties, ObjectProvider<ObservationRegistry> observationRegistry,
ObjectProvider<VectorStoreObservationConvention> customObservationConvention,
BatchingStrategy chromaBatchingStrategy) {
return ChromaVectorStore.builder(chromaApi, embeddingModel)
.collectionName(storeProperties.getCollectionName())
.initializeSchema(storeProperties.isInitializeSchema())
.observationRegistry(observationRegistry.getIfUnique(() -> ObservationRegistry.NOOP))
.customObservationConvention(customObservationConvention.getIfAvailable(() -> null))
.batchingStrategy(chromaBatchingStrategy)
.build();
}
static class PropertiesChromaConnectionDetails implements ChromaConnectionDetails {
private final ChromaApiProperties properties;
PropertiesChromaConnectionDetails(ChromaApiProperties properties) {
this.properties = properties;
}
@Override
public String getHost() {
return this.properties.getHost();
}
@Override
public int getPort() {
return this.properties.getPort();
}
@Override
public String getKeyToken() {
return this.properties.getKeyToken();
}
}
}
ChromaVectorStoreAutoConfiguration在spring.ai.vectorstore.type
为chroma
时启用,它根据ChromaApiProperties创建ChromaApi,再根据ChromaVectorStoreProperties创建ChromaVectorStore
ChromaApiProperties
org/springframework/ai/vectorstore/chroma/autoconfigure/ChromaApiProperties.java
@ConfigurationProperties(ChromaApiProperties.CONFIG_PREFIX)
public class ChromaApiProperties {
public static final String CONFIG_PREFIX = "spring.ai.vectorstore.chroma.client";
private String host = "http://localhost";
private int port = 8000;
private String keyToken;
private String username;
private String password;
//......
}
ChromaApiProperties主要是配置spring.ai.vectorstore.chroma.client
,它提供了host、port、keyToken、username、password这些属性
ChromaVectorStoreProperties
org/springframework/ai/vectorstore/chroma/autoconfigure/ChromaVectorStoreProperties.java
@ConfigurationProperties(ChromaVectorStoreProperties.CONFIG_PREFIX)
public class ChromaVectorStoreProperties extends CommonVectorStoreProperties {
public static final String CONFIG_PREFIX = "spring.ai.vectorstore.chroma";
private String collectionName = ChromaVectorStore.DEFAULT_COLLECTION_NAME;
public String getCollectionName() {
return this.collectionName;
}
public void setCollectionName(String collectionName) {
this.collectionName = collectionName;
}
}
ChromaVectorStoreProperties提供了spring.ai.vectorstore.chroma
,它从CommonVectorStoreProperties继承了initializeSchema属性,自己提供了collectionName属性
小结
Spring AI提供了spring-ai-starter-vector-store-chroma用于自动装配ChromaVectorStore。要注意的是embeddingDimension默认是1536,如果出现cannot unpack non-iterable coroutine object
错误,记得把chroma版本降到0.6.2。
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