Files
deer-flow/.env.example
CHANGXUBO dd9af1eb50 feat: Implement Milvus retriver for RAG (#516)
* feat: Implement MilvusRetriever with embedding model and resource management

* chore: Update configuration and loader files for consistency

* chore: Clean up test_milvus.py for improved readability and organization

* feat: Add tests for DashscopeEmbeddings query and document embedding methods

* feat: Add tests for embedding model initialization and example file loading in MilvusProvider

* chore: Remove unused imports and clean up test_milvus.py for better readability

* chore: Clean up test_milvus.py for improved readability and organization

* chore: Clean up test_milvus.py for improved readability and organization

* fix: replace print statements with logging in recursion limit function

* Implement feature X to enhance user experience and optimize performance

* refactor: clean up unused imports and comments in AboutTab component

* Implement feature X to enhance user experience and fix bug Y in module Z

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2025-09-12 22:20:55 +08:00

88 lines
3.3 KiB
Plaintext

# Application Settings
DEBUG=True
APP_ENV=development
# docker build args
NEXT_PUBLIC_API_URL="http://localhost:8000/api"
AGENT_RECURSION_LIMIT=30
# CORS settings
# Comma-separated list of allowed origins for CORS requests
# Example: ALLOWED_ORIGINS=http://localhost:3000,http://example.com
ALLOWED_ORIGINS=http://localhost:3000
# Enable or disable MCP server configuration, the default is false.
# Please enable this feature before securing your front-end and back-end in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_MCP_SERVER_CONFIGURATION=false
# Enable or disable PYTHON_REPL configuration, the default is false.
# Please enable this feature before securing your in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_PYTHON_REPL=false
# Search Engine, Supported values: tavily (recommended), duckduckgo, brave_search, arxiv
SEARCH_API=tavily
TAVILY_API_KEY=tvly-xxx
# BRAVE_SEARCH_API_KEY=xxx # Required only if SEARCH_API is brave_search
# JINA_API_KEY=jina_xxx # Optional, default is None
# Optional, RAG provider
# RAG_PROVIDER=vikingdb_knowledge_base
# VIKINGDB_KNOWLEDGE_BASE_API_URL="api-knowledgebase.mlp.cn-beijing.volces.com"
# VIKINGDB_KNOWLEDGE_BASE_API_AK="AKxxx"
# VIKINGDB_KNOWLEDGE_BASE_API_SK=""
# VIKINGDB_KNOWLEDGE_BASE_RETRIEVAL_SIZE=15
# RAG_PROVIDER=ragflow
# RAGFLOW_API_URL="http://localhost:9388"
# RAGFLOW_API_KEY="ragflow-xxx"
# RAGFLOW_RETRIEVAL_SIZE=10
# RAGFLOW_CROSS_LANGUAGES=English,Chinese,Spanish,French,German,Japanese,Korean # Optional. To use RAGFlow's cross-language search, please separate each language with a single comma
# RAG_PROVIDER: milvus (using free milvus instance on zilliz cloud: https://docs.zilliz.com/docs/quick-start )
# RAG_PROVIDER=milvus
# MILVUS_URI=<endpoint_of_self_hosted_milvus_or_zilliz_cloud>
# MILVUS_USER=<username_of_self_hosted_milvus_or_zilliz_cloud>
# MILVUS_PASSWORD=<password_of_self_hosted_milvus_or_zilliz_cloud>
# MILVUS_COLLECTION=documents
# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
# MILVUS_EMBEDDING_BASE_URL=
# MILVUS_EMBEDDING_MODEL=
# MILVUS_EMBEDDING_API_KEY=
# MILVUS_AUTO_LOAD_EXAMPLES=true
# RAG_PROVIDER: milvus (using milvus lite on Mac or Linux)
# RAG_PROVIDER=milvus
# MILVUS_URI=./milvus_demo.db
# MILVUS_COLLECTION=documents
# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
# MILVUS_EMBEDDING_BASE_URL=
# MILVUS_EMBEDDING_MODEL=
# MILVUS_EMBEDDING_API_KEY=
# MILVUS_AUTO_LOAD_EXAMPLES=true
# Optional, volcengine TTS for generating podcast
VOLCENGINE_TTS_APPID=xxx
VOLCENGINE_TTS_ACCESS_TOKEN=xxx
# VOLCENGINE_TTS_CLUSTER=volcano_tts # Optional, default is volcano_tts
# VOLCENGINE_TTS_VOICE_TYPE=BV700_V2_streaming # Optional, default is BV700_V2_streaming
# Option, for langsmith tracing and monitoring
# LANGSMITH_TRACING=true
# LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
# LANGSMITH_API_KEY="xxx"
# LANGSMITH_PROJECT="xxx"
# [!NOTE]
# For model settings and other configurations, please refer to `docs/configuration_guide.md`
# Option, for langgraph mongodb checkpointer
# Enable LangGraph checkpoint saver, supports MongoDB, Postgres
#LANGGRAPH_CHECKPOINT_SAVER=true
# Set the database URL for saving checkpoints
#LANGGRAPH_CHECKPOINT_DB_URL=mongodb://localhost:27017/
#LANGGRAPH_CHECKPOINT_DB_URL=postgresql://localhost:5432/postgres