3 Commits

Author SHA1 Message Date
zyclove
d942d35c93 feat:add opensearch (#2049)
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2025-02-12 20:30:58 +08:00
jianjun.xu
198c7c69e6 [fix][headless] The output on the front-end dimension page is abnormal after the model management is modified (#2048) 2025-02-12 20:29:17 +08:00
zyclove
cb139a54e8 feat:add openapi supports ApiVersion (#2050) 2025-02-12 20:28:10 +08:00
14 changed files with 200 additions and 17 deletions

View File

@@ -174,6 +174,10 @@
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-milvus</artifactId>
</dependency>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-opensearch</artifactId>
</dependency>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-pgvector</artifactId>
@@ -242,6 +246,10 @@
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
</dependency>
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>aws-java-sdk</artifactId>
</dependency>
<dependency>
<groupId>org.codehaus.woodstox</groupId>

View File

@@ -19,7 +19,7 @@ public class EmbeddingStoreParameterConfig extends ParameterConfig {
public static final Parameter EMBEDDING_STORE_PROVIDER = new Parameter(
"s2.embedding.store.provider", EmbeddingStoreType.IN_MEMORY.name(), "向量库类型",
"目前支持四种类型IN_MEMORY、MILVUS、CHROMA、PGVECTOR", "list", MODULE_NAME, getCandidateValues());
"目前支持四种类型IN_MEMORY、MILVUS、CHROMA、PGVECTOR、OPENSEARCH", "list", MODULE_NAME, getCandidateValues());
public static final Parameter EMBEDDING_STORE_BASE_URL =
new Parameter("s2.embedding.store.base.url", "", "BaseUrl", "", "string", MODULE_NAME,
@@ -87,16 +87,19 @@ public class EmbeddingStoreParameterConfig extends ParameterConfig {
private static ArrayList<String> getCandidateValues() {
return Lists.newArrayList(EmbeddingStoreType.IN_MEMORY.name(),
EmbeddingStoreType.MILVUS.name(), EmbeddingStoreType.CHROMA.name(),
EmbeddingStoreType.PGVECTOR.name());
EmbeddingStoreType.PGVECTOR.name(), EmbeddingStoreType.OPENSEARCH.name());
}
private static List<Parameter.Dependency> getBaseUrlDependency() {
return getDependency(EMBEDDING_STORE_PROVIDER.getName(),
Lists.newArrayList(EmbeddingStoreType.MILVUS.name(),
EmbeddingStoreType.CHROMA.name(), EmbeddingStoreType.PGVECTOR.name()),
EmbeddingStoreType.CHROMA.name(),
EmbeddingStoreType.PGVECTOR.name(),
EmbeddingStoreType.OPENSEARCH.name()),
ImmutableMap.of(EmbeddingStoreType.MILVUS.name(), "http://localhost:19530",
EmbeddingStoreType.CHROMA.name(), "http://localhost:8000",
EmbeddingStoreType.PGVECTOR.name(), "127.0.0.1"));
EmbeddingStoreType.PGVECTOR.name(), "127.0.0.1",
EmbeddingStoreType.OPENSEARCH.name(), "http://localhost:9200"));
}
private static List<Parameter.Dependency> getApiKeyDependency() {
@@ -114,17 +117,21 @@ public class EmbeddingStoreParameterConfig extends ParameterConfig {
private static List<Parameter.Dependency> getDimensionDependency() {
return getDependency(EMBEDDING_STORE_PROVIDER.getName(),
Lists.newArrayList(EmbeddingStoreType.MILVUS.name(),
EmbeddingStoreType.PGVECTOR.name()),
EmbeddingStoreType.PGVECTOR.name(),
EmbeddingStoreType.OPENSEARCH.name()),
ImmutableMap.of(EmbeddingStoreType.MILVUS.name(), "384",
EmbeddingStoreType.PGVECTOR.name(), "512"));
EmbeddingStoreType.PGVECTOR.name(), "512",
EmbeddingStoreType.OPENSEARCH.name(), "512"));
}
private static List<Parameter.Dependency> getDatabaseNameDependency() {
return getDependency(EMBEDDING_STORE_PROVIDER.getName(),
Lists.newArrayList(EmbeddingStoreType.MILVUS.name(),
EmbeddingStoreType.PGVECTOR.name()),
EmbeddingStoreType.PGVECTOR.name(),
EmbeddingStoreType.OPENSEARCH.name()),
ImmutableMap.of(EmbeddingStoreType.MILVUS.name(), "",
EmbeddingStoreType.PGVECTOR.name(), "postgres"));
EmbeddingStoreType.PGVECTOR.name(), "postgres",
EmbeddingStoreType.OPENSEARCH.name(), "ai_sql"));
}
private static List<Parameter.Dependency> getPortDependency() {
@@ -136,16 +143,20 @@ public class EmbeddingStoreParameterConfig extends ParameterConfig {
private static List<Parameter.Dependency> getUserDependency() {
return getDependency(EMBEDDING_STORE_PROVIDER.getName(),
Lists.newArrayList(EmbeddingStoreType.MILVUS.name(),
EmbeddingStoreType.PGVECTOR.name()),
EmbeddingStoreType.PGVECTOR.name(),
EmbeddingStoreType.OPENSEARCH.name()),
ImmutableMap.of(EmbeddingStoreType.MILVUS.name(), "milvus",
EmbeddingStoreType.PGVECTOR.name(), "postgres"));
EmbeddingStoreType.PGVECTOR.name(), "postgres",
EmbeddingStoreType.OPENSEARCH.name(), "opensearch"));
}
private static List<Parameter.Dependency> getPasswordDependency() {
return getDependency(EMBEDDING_STORE_PROVIDER.getName(),
Lists.newArrayList(EmbeddingStoreType.MILVUS.name(),
EmbeddingStoreType.PGVECTOR.name()),
EmbeddingStoreType.PGVECTOR.name(),
EmbeddingStoreType.OPENSEARCH.name()),
ImmutableMap.of(EmbeddingStoreType.MILVUS.name(), "milvus",
EmbeddingStoreType.PGVECTOR.name(), "postgres"));
EmbeddingStoreType.PGVECTOR.name(), "postgres",
EmbeddingStoreType.OPENSEARCH.name(), "opensearch"));
}
}

View File

@@ -18,6 +18,7 @@ public class ChatModelConfig implements Serializable {
private String baseUrl;
private String apiKey;
private String modelName;
private String apiVersion;
private Double temperature = 0.0d;
private Long timeOut = 60L;
private String endpoint;

View File

@@ -34,6 +34,9 @@ public class ChatModelParameters {
public static final Parameter CHAT_MODEL_API_KEY = new Parameter("apiKey", "", "ApiKey", "",
"password", MODULE_NAME, null, getApiKeyDependency());
public static final Parameter CHAT_MODEL_API_VERSION = new Parameter("apiVersion", "2024-02-01", "ApiVersion", "",
"string", MODULE_NAME, null, getApiVersionDependency());
public static final Parameter CHAT_MODEL_ENDPOINT = new Parameter("endpoint", "llama_2_70b",
"Endpoint", "", "string", MODULE_NAME, null, getEndpointDependency());
@@ -51,7 +54,7 @@ public class ChatModelParameters {
public static List<Parameter> getParameters() {
return Lists.newArrayList(CHAT_MODEL_PROVIDER, CHAT_MODEL_BASE_URL, CHAT_MODEL_ENDPOINT,
CHAT_MODEL_API_KEY, CHAT_MODEL_SECRET_KEY, CHAT_MODEL_NAME,
CHAT_MODEL_API_KEY, CHAT_MODEL_SECRET_KEY, CHAT_MODEL_NAME, CHAT_MODEL_API_VERSION,
CHAT_MODEL_ENABLE_SEARCH, CHAT_MODEL_TEMPERATURE, CHAT_MODEL_TIMEOUT);
}
@@ -90,6 +93,12 @@ public class ChatModelParameters {
ModelProvider.DEMO_CHAT_MODEL.getApiKey()));
}
private static List<Parameter.Dependency> getApiVersionDependency() {
return getDependency(CHAT_MODEL_PROVIDER.getName(),
Lists.newArrayList(OpenAiModelFactory.PROVIDER),
ImmutableMap.of(OpenAiModelFactory.PROVIDER, OpenAiModelFactory.DEFAULT_API_VERSION));
}
private static List<Parameter.Dependency> getModelNameDependency() {
return getDependency(CHAT_MODEL_PROVIDER.getName(), getCandidateValues(),
ImmutableMap.of(OpenAiModelFactory.PROVIDER, OpenAiModelFactory.DEFAULT_MODEL_NAME,

View File

@@ -70,6 +70,7 @@ public class OpenAiChatModel implements ChatLanguageModel, TokenCountEstimator {
private final OpenAiClient client;
private final String baseUrl;
private final String modelName;
private final String apiVersion;
private final Double temperature;
private final Double topP;
private final List<String> stop;
@@ -88,7 +89,7 @@ public class OpenAiChatModel implements ChatLanguageModel, TokenCountEstimator {
private final List<ChatModelListener> listeners;
@Builder
public OpenAiChatModel(String baseUrl, String apiKey, String organizationId, String modelName,
public OpenAiChatModel(String baseUrl, String apiKey, String organizationId, String modelName, String apiVersion,
Double temperature, Double topP, List<String> stop, Integer maxTokens,
Double presencePenalty, Double frequencyPenalty, Map<String, Integer> logitBias,
String responseFormat, Boolean strictJsonSchema, Integer seed, String user,
@@ -104,12 +105,13 @@ public class OpenAiChatModel implements ChatLanguageModel, TokenCountEstimator {
timeout = getOrDefault(timeout, ofSeconds(60));
this.client = OpenAiClient.builder().openAiApiKey(apiKey).baseUrl(baseUrl)
this.client = OpenAiClient.builder().openAiApiKey(apiKey).baseUrl(baseUrl).apiVersion(apiVersion)
.organizationId(organizationId).callTimeout(timeout).connectTimeout(timeout)
.readTimeout(timeout).writeTimeout(timeout).proxy(proxy).logRequests(logRequests)
.logResponses(logResponses).userAgent(DEFAULT_USER_AGENT)
.customHeaders(customHeaders).build();
this.modelName = getOrDefault(modelName, GPT_3_5_TURBO);
this.apiVersion = apiVersion;
this.temperature = getOrDefault(temperature, 0.7);
this.topP = topP;
this.stop = stop;

View File

@@ -0,0 +1,29 @@
package dev.langchain4j.opensearch.spring;
import io.milvus.common.clientenum.ConsistencyLevelEnum;
import io.milvus.param.IndexType;
import io.milvus.param.MetricType;
import lombok.Getter;
import lombok.Setter;
@Getter
@Setter
class EmbeddingStoreProperties {
private String uri;
private String host;
private Integer port;
private String serviceName;
private String region;
private String collectionName;
private Integer dimension;
private IndexType indexType;
private MetricType metricType;
private String token;
private String user;
private String password;
private ConsistencyLevelEnum consistencyLevel;
private Boolean retrieveEmbeddingsOnSearch;
private String databaseName;
private Boolean autoFlushOnInsert;
}

View File

@@ -0,0 +1,19 @@
package dev.langchain4j.opensearch.spring;
import dev.langchain4j.store.embedding.EmbeddingStoreFactory;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import static dev.langchain4j.opensearch.spring.Properties.PREFIX;
@Configuration
@EnableConfigurationProperties(dev.langchain4j.opensearch.spring.Properties.class)
public class OpenSearchAutoConfig {
@Bean
@ConditionalOnProperty(PREFIX + ".embedding-store.uri")
EmbeddingStoreFactory milvusChatModel(Properties properties) {
return new OpenSearchEmbeddingStoreFactory(properties.getEmbeddingStore());
}
}

View File

@@ -0,0 +1,59 @@
package dev.langchain4j.opensearch.spring;
import com.tencent.supersonic.common.pojo.EmbeddingStoreConfig;
import dev.langchain4j.data.segment.TextSegment;
import dev.langchain4j.store.embedding.BaseEmbeddingStoreFactory;
import dev.langchain4j.store.embedding.EmbeddingStore;
import dev.langchain4j.store.embedding.opensearch.OpenSearchEmbeddingStore;
import org.apache.hc.client5.http.auth.AuthScope;
import org.apache.hc.client5.http.auth.UsernamePasswordCredentials;
import org.apache.hc.client5.http.impl.auth.BasicCredentialsProvider;
import org.apache.hc.core5.http.HttpHost;
import org.opensearch.client.transport.aws.AwsSdk2TransportOptions;
import org.springframework.beans.BeanUtils;
import software.amazon.awssdk.auth.credentials.AwsBasicCredentials;
import software.amazon.awssdk.auth.credentials.StaticCredentialsProvider;
import java.net.URI;
/**
* @author zyc
*/
public class OpenSearchEmbeddingStoreFactory extends BaseEmbeddingStoreFactory {
private final EmbeddingStoreProperties storeProperties;
public OpenSearchEmbeddingStoreFactory(EmbeddingStoreConfig storeConfig) {
this(createPropertiesFromConfig(storeConfig));
}
public OpenSearchEmbeddingStoreFactory(EmbeddingStoreProperties storeProperties) {
this.storeProperties = storeProperties;
}
private static EmbeddingStoreProperties createPropertiesFromConfig(
EmbeddingStoreConfig storeConfig) {
EmbeddingStoreProperties embeddingStore = new EmbeddingStoreProperties();
BeanUtils.copyProperties(storeConfig, embeddingStore);
embeddingStore.setUri(storeConfig.getBaseUrl());
embeddingStore.setToken(storeConfig.getApiKey());
embeddingStore.setDatabaseName(storeConfig.getDatabaseName());
return embeddingStore;
}
@Override
public EmbeddingStore<TextSegment> createEmbeddingStore(String collectionName) {
final AwsSdk2TransportOptions options = AwsSdk2TransportOptions.builder()
.setCredentials(StaticCredentialsProvider.create(AwsBasicCredentials.create(storeProperties.getUser(), storeProperties.getPassword())))
.build();
final String indexName = storeProperties.getDatabaseName() + "_" + collectionName;
return OpenSearchEmbeddingStore.builder().serviceName(storeProperties.getServiceName())
.serverUrl(storeProperties.getUri())
.region(storeProperties.getRegion())
.indexName(indexName)
.userName(storeProperties.getUser())
.password(storeProperties.getPassword())
.apiKey(storeProperties.getToken())
.options(options)
.build();
}
}

View File

@@ -0,0 +1,17 @@
package dev.langchain4j.opensearch.spring;
import lombok.Getter;
import lombok.Setter;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.context.properties.NestedConfigurationProperty;
@Getter
@Setter
@ConfigurationProperties(prefix = Properties.PREFIX)
public class Properties {
static final String PREFIX = "langchain4j.opensearch";
@NestedConfigurationProperty
dev.langchain4j.opensearch.spring.EmbeddingStoreProperties embeddingStore;
}

View File

@@ -18,11 +18,13 @@ public class OpenAiModelFactory implements ModelFactory, InitializingBean {
public static final String DEFAULT_BASE_URL = "https://api.openai.com/v1";
public static final String DEFAULT_MODEL_NAME = "gpt-4o-mini";
public static final String DEFAULT_EMBEDDING_MODEL_NAME = "text-embedding-ada-002";
public static final String DEFAULT_API_VERSION = "2024-02-01";
@Override
public ChatLanguageModel createChatModel(ChatModelConfig modelConfig) {
return OpenAiChatModel.builder().baseUrl(modelConfig.getBaseUrl())
.modelName(modelConfig.getModelName()).apiKey(modelConfig.keyDecrypt())
.apiVersion(modelConfig.getApiVersion())
.temperature(modelConfig.getTemperature()).topP(modelConfig.getTopP())
.maxRetries(modelConfig.getMaxRetries())
.timeout(Duration.ofSeconds(modelConfig.getTimeOut()))

View File

@@ -6,6 +6,7 @@ import com.tencent.supersonic.common.util.ContextUtils;
import dev.langchain4j.chroma.spring.ChromaEmbeddingStoreFactory;
import dev.langchain4j.inmemory.spring.InMemoryEmbeddingStoreFactory;
import dev.langchain4j.milvus.spring.MilvusEmbeddingStoreFactory;
import dev.langchain4j.opensearch.spring.OpenSearchEmbeddingStoreFactory;
import dev.langchain4j.pgvector.spring.PgvectorEmbeddingStoreFactory;
import org.apache.commons.lang3.StringUtils;
@@ -45,6 +46,11 @@ public class EmbeddingStoreFactoryProvider {
return factoryMap.computeIfAbsent(embeddingStoreConfig,
storeConfig -> new InMemoryEmbeddingStoreFactory(storeConfig));
}
if (EmbeddingStoreType.OPENSEARCH.name()
.equalsIgnoreCase(embeddingStoreConfig.getProvider())) {
return factoryMap.computeIfAbsent(embeddingStoreConfig,
storeConfig -> new OpenSearchEmbeddingStoreFactory(storeConfig));
}
throw new RuntimeException("Unsupported EmbeddingStoreFactory provider: "
+ embeddingStoreConfig.getProvider());
}

View File

@@ -1,5 +1,5 @@
package dev.langchain4j.store.embedding;
public enum EmbeddingStoreType {
IN_MEMORY, MILVUS, CHROMA, PGVECTOR
IN_MEMORY, MILVUS, CHROMA, PGVECTOR, OPENSEARCH
}

View File

@@ -300,6 +300,15 @@ public class ModelConverter {
private static ModelDetail updateModelDetail(ModelReq modelReq) {
ModelDetail modelDetail = new ModelDetail();
List<Measure> measures = modelReq.getModelDetail().getMeasures();
List<Dimension> dimensions = modelReq.getModelDetail().getDimensions();
if (!CollectionUtils.isEmpty(dimensions)) {
for (Dimension dimension : dimensions) {
if (StringUtils.isNotBlank(dimension.getBizName())
&& StringUtils.isBlank(dimension.getExpr())) {
dimension.setExpr(dimension.getBizName());
}
}
}
if (measures == null) {
measures = Lists.newArrayList();
}

13
pom.xml
View File

@@ -66,7 +66,7 @@
<mockito-inline.version>4.5.1</mockito-inline.version>
<easyexcel.version>2.2.6</easyexcel.version>
<poi.version>3.17</poi.version>
<langchain4j.version>0.34.0</langchain4j.version>
<langchain4j.version>0.35.0</langchain4j.version>
<langchain4j.embedding.version>0.27.1</langchain4j.embedding.version>
<!-- <postgresql.version>42.7.1</postgresql.version>-->
<st.version>4.0.8</st.version>
@@ -79,6 +79,7 @@
<spotless.skip>false</spotless.skip>
<stax2.version>4.2.1</stax2.version>
<io.springfox.version>3.0.0</io.springfox.version>
<aws-java-sdk.version>1.12.780</aws-java-sdk.version>
</properties>
<dependencyManagement>
@@ -173,6 +174,11 @@
<artifactId>langchain4j-milvus</artifactId>
<version>${langchain4j.version}</version>
</dependency>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-opensearch</artifactId>
<version>${langchain4j.version}</version>
</dependency>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-pgvector</artifactId>
@@ -213,6 +219,11 @@
<artifactId>springdoc-openapi-starter-webmvc-ui</artifactId>
<version>2.1.0</version>
</dependency>
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>aws-java-sdk</artifactId>
<version>${aws-java-sdk.version}</version>
</dependency>
</dependencies>
</dependencyManagement>