SpringBoot 集成 LangChain4j RAG Redis 搜索
- [1 依赖](#1 依赖)
- [2 配置](#2 配置)
- [3 代码](#3 代码)
-
- [1 RagConf](#1 RagConf)
- [2 RagController](#2 RagController)
- [4 测试](#4 测试)
1 依赖
xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>3.5.6</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>com.xu</groupId>
<artifactId>lang-chain-redis</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>lang-chain-redis</name>
<description>Demo project for Spring Boot</description>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-bom</artifactId>
<version>1.7.1</version>
<type>pom</type>
<scope>import</scope>
</dependency>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-community-bom</artifactId>
<version>1.7.1-beta14</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<properties>
<maven.compiler.source>25</maven.compiler.source>
<maven.compiler.target>25</maven.compiler.target>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
</properties>
<dependencies>
<!--Spring Boot 的 Web starter-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!--LangChain4j 的 Spring Boot starter-->
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-spring-boot-starter</artifactId>
</dependency>
<!--LangChain4j 对 redis 向量扩展(vector)的支持库-->
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-community-redis-spring-boot-starter</artifactId>
</dependency>
<!-- 本地模型 -->
<!-- <dependency>-->
<!-- <groupId>dev.langchain4j</groupId>-->
<!-- <artifactId>langchain4j-embeddings-bge-small-zh-v15-q</artifactId>-->
<!-- </dependency>-->
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-embeddings-all-minilm-l6-v2</artifactId>
</dependency>
<!-- 文档解析 -->
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-document-parser-apache-tika</artifactId>
</dependency>
<!--Spring Boot 的开发工具,提供热部署、自动重启等功能,加速开发过程-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<!--简化 Java 代码的工具库-->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<!--Spring Boot 的测试 starter-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<annotationProcessorPaths>
<path>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</path>
</annotationProcessorPaths>
</configuration>
</plugin>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<configuration>
<excludes>
<exclude>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</exclude>
</excludes>
</configuration>
</plugin>
</plugins>
</build>
<repositories>
<repository>
<id>spring-snapshots</id>
<name>Spring Snapshots</name>
<url>https://repo.spring.io/snapshot</url>
<releases>
<enabled>false</enabled>
</releases>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>spring-snapshots</id>
<name>Spring Snapshots</name>
<url>https://repo.spring.io/snapshot</url>
<releases>
<enabled>false</enabled>
</releases>
</pluginRepository>
</pluginRepositories>
</project>
2 配置
yml
server:
port: 8080
servlet:
context-path: /
spring:
application:
name: lang-chain-redis
logging:
file:
name: logs/ lang-chain-redis.log
level:
root: INFO
com.xu: INFO
langchain4j:
community:
redis:
host: localhost
port: 6379
user: langchain4j
password: 123456
indexName: langchain4j
prefix: ":lc4j:"
dimension: 384
3 代码
1 RagConf
java
package com.xu.conf;
import dev.langchain4j.community.store.embedding.redis.RedisEmbeddingStore;
import dev.langchain4j.data.segment.TextSegment;
import dev.langchain4j.model.embedding.EmbeddingModel;
import dev.langchain4j.model.embedding.onnx.allminilml6v2.AllMiniLmL6V2EmbeddingModelFactory;
import dev.langchain4j.store.embedding.EmbeddingStore;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import redis.clients.jedis.JedisPooled;
@Configuration
public class RagConf {
@Bean
public EmbeddingModel embeddingModel() {
return new AllMiniLmL6V2EmbeddingModelFactory().create();
//return new BgeSmallZhV15QuantizedEmbeddingModelFactory().create();
}
@Bean
@Primary
public EmbeddingStore<TextSegment> embeddingStore() {
return RedisEmbeddingStore.builder()
.jedisPooled(new JedisPooled("127.0.0.1", 6379, "langchain4j", "123456"))
.dimension(384)
.build();
}
}
2 RagController
java
package com.xu.controller;
import dev.langchain4j.data.document.loader.FileSystemDocumentLoader;
import dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser;
import dev.langchain4j.data.document.splitter.DocumentByWordSplitter;
import dev.langchain4j.data.segment.TextSegment;
import dev.langchain4j.model.embedding.EmbeddingModel;
import dev.langchain4j.store.embedding.EmbeddingSearchRequest;
import dev.langchain4j.store.embedding.EmbeddingStore;
import dev.langchain4j.store.embedding.EmbeddingStoreIngestor;
import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import java.util.HashMap;
import java.util.Map;
import java.util.stream.Collectors;
@Slf4j
@RestController
@AllArgsConstructor
@RequestMapping("/rag")
public class RagController {
private final EmbeddingModel embeddingModel;
private final EmbeddingStore<TextSegment> embeddingStore;
/**
* RAG数据入库
*
* @return 数量
*/
@GetMapping("/save")
public Object chat() {
// 1️⃣ 使用 Tika 解析 docx/pdf 等文件
var documents = FileSystemDocumentLoader.loadDocuments(
"D:\\SourceCode\\简历",
new ApacheTikaDocumentParser()
);
// 2️⃣ 定义自定义的文本拆分器 chunkSize=50 表示每段最大 50 tokens,overlap=10 表示重叠 10 tokens
var splitter = new DocumentByWordSplitter(50, 10);
// 3️⃣ 构建带自定义拆分器的 ingestor
var ingestor = EmbeddingStoreIngestor.builder()
.documentSplitter(splitter)
.embeddingStore(embeddingStore)
.embeddingModel(embeddingModel)
.build();
// 4️⃣ 执行嵌入生成与存储
ingestor.ingest(documents);
return documents.size();
}
/**
* RAG数据查询
*
* @param query 查询
* @return 结果
*/
@GetMapping("/search")
public Object search(@RequestParam String query) {
// 添加日志输出查询内容
System.out.println("查询内容: " + query);
var embedding = embeddingModel.embed(TextSegment.from(query)).content();
System.out.println("查询向量维度: " + embedding.dimension());
var searchRequest = EmbeddingSearchRequest.builder()
.queryEmbedding(embedding)
.maxResults(5)
.minScore(0.6)
.build();
var matches = embeddingStore.search(searchRequest).matches();
System.out.println("匹配结果数量: " + matches.size());
var results = matches.stream()
.map(match -> {
Map<String, Object> map = new HashMap<>();
map.put("embeddingScore", match.score());
map.put("embeddingId", match.embeddingId());
// 添加文本内容以便调试
map.put("embedded", match.embedded().text());
return map;
}).collect(Collectors.toList());
return ResponseEntity.ok(results);
}
}
4 测试