kennethcheng
80eb5eb590
新增接口： - POST /api/chat/stream - 流式 RAG 问答 (SSE) - POST /api/documents/upload - PDF 文件上传 - POST /api/documents/upload/stream - 带进度 PDF 上传 新增功能： - CorsConfig 跨域配置（支持 localhost:8081, 5173） - FileUploadResponse/FileUploadProgress DTO - PDF 文本提取与向量化存储 - MD5 文件去重机制 配置更新： - embedding 模型更新为 BAAI/bge-m3 - multipart max-file-size: 100MB - ChatRequest topK 默认值 3 → 10
53 lines
1.3 KiB
YAML
53 lines
1.3 KiB
YAML
server:
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port: 8080
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spring:
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servlet:
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multipart:
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max-file-size: 100MB
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max-request-size: 100MB
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ai:
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openai:
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api-key: ollama
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base-url: http://localhost:11434
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chat:
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api-key: ollama
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base-url: http://localhost:11434
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options:
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model: gpt-oss:120b-cloud
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# model: kimi-k2.5:cloud
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# model: gemma4:e2b
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# max-tokens: 10000
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temperature: 0.7
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embedding:
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api-key: key
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base-url: https://api.siliconflow.cn
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options:
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model: BAAI/bge-m3
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dimensions: 1024
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enable: true
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vectorstore:
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milvus:
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client:
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host: "192.168.50.103"
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port: 19530
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databaseName: "doris_docs"
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collectionName: "vector_store"
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embeddingDimension: 1024
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indexType: IVF_FLAT
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metricType: COSINE
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# 增加这个配置，可以让springai帮我们创建vector_store
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initialize-schema: true
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document:
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data-path: data
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chunk-size: 400
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min-chunk-size: 200
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max-num-chunk: 10000
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# CORS 配置
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cors:
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allowed-origins: ${CORS_ORIGINS:http://localhost:8081,http://localhost:5173}
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allowed-methods: GET,POST,PUT,DELETE,OPTIONS
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allowed-headers: "*"
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allow-credentials: true |