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docs: Docker Compose setup for Qdrant
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| Module | Current Capabilities |
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| **Model Management** | Multi-model integration (OpenAI/DeepSeek/Tongyi/Zhipu), multi-modal understanding, Coze/DIFY/FastGPT platform integration |
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| **Knowledge Base** | Local RAG + Vector DB (Milvus/Weaviate) + Document parsing |
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| **Knowledge Base** | Local RAG + Vector DB (Milvus/Weaviate/Qdrant) + Document parsing |
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| **Tool Management** | MCP protocol integration, Skills capability + Extensible tool ecosystem |
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| **Workflow Orchestration** | Visual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review nodes |
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| **Multi-Agent** | Agent framework based on Langchain4j, Supervisor mode orchestration, supports multiple decision models |
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### Core Framework
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- **Backend**: Spring Boot 4.0 + Spring AI 2.0 + Langchain4j
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- **Data Storage**: MySQL 8.0 + Redis + Vector Databases (Milvus/Weaviate)
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- **Data Storage**: MySQL 8.0 + Redis + Vector Databases (Milvus/Weaviate/Qdrant)
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- **Frontend**: Vue 3 + Vben Admin + element-plus-x
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- **Security**: Sa-Token + JWT dual-layer security
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