lsz/${project.build.directory}/classes/application.properties

spring.application.name=rag-kb-backend

# MySQL 数据源配置
spring.datasource.url=jdbc:mysql://192.168.168.131:3306/rag_kb?useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai
spring.datasource.username=root
spring.datasource.password=root1234
spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver

# Redis 配置
spring.data.redis.host=192.168.168.131
spring.data.redis.port=6379

# Spring AI - Ollama 大模型服务
spring.ai.ollama.base-url=http://192.168.168.131:11434
spring.ai.ollama.chat.model=qwen2.5:3b
spring.ai.ollama.chat.options.temperature=0.7
spring.ai.ollama.embedding.model=nomic-embed-text
spring.ai.ollama.embedding.options.temperature=0.0

# Spring AI - Milvus 向量库
spring.ai.vectorstore.milvus.client.host=192.168.168.131
spring.ai.vectorstore.milvus.client.port=19530
spring.ai.vectorstore.milvus.database-name=default
spring.ai.vectorstore.milvus.collection-name=rag_knowledge
spring.ai.vectorstore.milvus.embedding-dimension=768
spring.ai.vectorstore.milvus.index-type=IVF_FLAT
spring.ai.vectorstore.milvus.metric-type=COSINE
spring.ai.vectorstore.milvus.initialize-schema=true

# 服务端口
server.port=8080

# 文件上传大小限制（用于文档上传）
spring.servlet.multipart.max-file-size=50MB
spring.servlet.multipart.max-request-size=100MB

# 日志
logging.level.com.rag.kb=DEBUG
logging.level.org.springframework.ai=DEBUG