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构建并部署 AI Agent 服务 / deploy (push) Successful in 5m40s
- 用 langchain-qdrant 的 RetrievalMode.HYBRID - 自动检测 Qdrant 集合是否有 sparse_vectors_config - 有则用 Qdrant 原生混合检索，无则优雅回退纯稠密 - 接口完全兼容，0 改动现有代码 - 语法检查通过
53 lines
915 B
Plaintext
53 lines
915 B
Plaintext
# Core
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pydantic==2.12.5
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python-dotenv==1.2.2
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typing-extensions==4.15.0
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# LangChain
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langchain==1.2.15
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langchain-community==0.4.1
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langchain-core==1.2.28
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langchain-openai==1.1.12
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langchain-qdrant==1.1.0
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langgraph==1.1.6
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langgraph-checkpoint-postgres==3.0.5
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tiktoken>=0.12.0
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# Zhipu AI
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zhipuai==2.0.1
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# Vector DB
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qdrant-client==1.17.1
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# Memory
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mem0ai==1.0.11
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# Backend
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fastapi==0.135.3
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uvicorn[standard]==0.44.0
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# Database
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asyncpg==0.31.0
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psycopg[binary]==3.3.3
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# HTTP
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httpx==0.28.1
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aiohttp==3.13.5
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# Utilities
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tenacity==9.1.4
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rich==15.0.0
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PyYAML==6.0.3
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numpy>=1.26.2
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pyjwt==2.8.0
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ddgs>=6.0.0 # 免费联网搜索（原 duckduckgo-search 已重命名）
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matplotlib>=3.9.0 # 可视化图表
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# Document Processing
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unstructured==0.22.21
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pypdf==6.10.0
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beautifulsoup4==4.14.3
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lxml==6.1.0
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pandas==3.0.2 # 若需Excel保留，否则移除
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spacy==3.8.14 # unstructured 可能依赖
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