mirror of
https://gitee.com/wanwujie/deer-flow
synced 2026-04-03 06:12:14 +08:00
* feat: add rag provider and retriever * feat: retriever tool * feat: add retriever tool to the researcher node * feat: add rag http apis * feat: new message input supports resource mentions * feat: new message input component support resource mentions * refactor: need_web_search to need_search * chore: RAG integration docs * chore: change example api host * fix: user message color in dark mode * fix: mentions style * feat: add local_search_tool to researcher prompt * chore: research prompt * fix: ragflow page size and reporter with * docs: ragflow integration and add acknowledgment projects * chore: format
36 lines
1.1 KiB
Plaintext
36 lines
1.1 KiB
Plaintext
# Application Settings
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DEBUG=True
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APP_ENV=development
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# docker build args
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NEXT_PUBLIC_API_URL="http://localhost:8000/api"
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AGENT_RECURSION_LIMIT=30
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# Search Engine, Supported values: tavily (recommended), duckduckgo, brave_search, arxiv
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SEARCH_API=tavily
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TAVILY_API_KEY=tvly-xxx
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# BRAVE_SEARCH_API_KEY=xxx # Required only if SEARCH_API is brave_search
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# JINA_API_KEY=jina_xxx # Optional, default is None
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# Optional, RAG provider
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# RAG_PROVIDER=ragflow
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# RAGFLOW_API_URL="http://localhost:9388"
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# RAGFLOW_API_KEY="ragflow-xxx"
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# RAGFLOW_RETRIEVAL_SIZE=10
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# Optional, volcengine TTS for generating podcast
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VOLCENGINE_TTS_APPID=xxx
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VOLCENGINE_TTS_ACCESS_TOKEN=xxx
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# VOLCENGINE_TTS_CLUSTER=volcano_tts # Optional, default is volcano_tts
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# VOLCENGINE_TTS_VOICE_TYPE=BV700_V2_streaming # Optional, default is BV700_V2_streaming
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# Option, for langsmith tracing and monitoring
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# LANGSMITH_TRACING=true
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# LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
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# LANGSMITH_API_KEY="xxx"
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# LANGSMITH_PROJECT="xxx"
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# [!NOTE]
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# For model settings and other configurations, please refer to `docs/configuration_guide.md`
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