de58f30014
- Add new models for `KnowledgeDocument` and `KnowledgeChunk` to manage document ingestion and chunking. - Implement S3-compatible storage integration for knowledge documents, allowing for file uploads and retrieval. - Introduce API endpoints for managing knowledge bases and documents, including creation, deletion, and searching. - Update frontend components to support knowledge base configuration and document management, improving user interaction. - Enhance backend services for knowledge processing and retrieval, ensuring robust handling of document statuses and errors.
32 lines
915 B
Plaintext
32 lines
915 B
Plaintext
# 薄后端依赖。语音引擎用 pipecat 官方库。
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# webrtc -> SmallWebRTCTransport / SmallWebRTCConnection + aiortc
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# silero -> 本地 VAD(判断用户说话起止),语音必备
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# openai -> OpenAI 兼容的 LLM/STT/TTS 客户端(DeepSeek、SenseVoice、CosyVoice 都走它)
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pipecat-ai[webrtc,websocket,silero,openai]==1.4.0
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Pillow>=11.1.0,<13
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# FastGPT 类型助手:本地 SDK(包 /api/v1/chat/completions 流式 + chatId 会话)
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fastgpt-client @ file:///Users/wangx/Code/AI-VideoAssistant-Project/fastgpt-python-sdk
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# Dify 类型助手:异步流式 Runtime API SDK
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dify-client-python==1.0.3
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fastapi
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httpx
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uvicorn[standard]
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python-dotenv
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pydantic
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loguru
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websockets>=13
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# 存储:Postgres(SQLAlchemy 2.0 异步 + asyncpg 驱动)
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sqlalchemy[asyncio]>=2.0
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alembic>=1.13
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asyncpg
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greenlet # SQLAlchemy 异步运行时必需(部分平台不会自动带上)
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pgvector
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boto3
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python-multipart
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pypdf
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python-docx
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