mirror of
https://github.com/HKUDS/LightRAG.git
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4dfdb9032c
- Add an `accounts` dictionary in `AuthHandler` to store multiple user account information. - Modify login logic to support multiple user account verification. - Update environment variable example, add description for `AUTH_ACCOUNTS` variable. - Adjust authentication status check logic, use `auth_handler.accounts` to determine if authentication is configured.
158 lines
5.4 KiB
Plaintext
158 lines
5.4 KiB
Plaintext
### This is sample file of .env
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### Server Configuration
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# HOST=0.0.0.0
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# PORT=9621
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# WORKERS=1
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# NAMESPACE_PREFIX=lightrag # separating data from difference Lightrag instances
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# MAX_GRAPH_NODES=1000 # Max nodes return from grap retrieval
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# CORS_ORIGINS=http://localhost:3000,http://localhost:8080
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### Optional SSL Configuration
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# SSL=true
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# SSL_CERTFILE=/path/to/cert.pem
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# SSL_KEYFILE=/path/to/key.pem
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### Security (empty for no api-key is needed)
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# LIGHTRAG_API_KEY=your-secure-api-key-here
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### Directory Configuration
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# WORKING_DIR=<absolute_path_for_working_dir>
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# INPUT_DIR=<absolute_path_for_doc_input_dir>
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### Ollama Emulating Model Tag
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# OLLAMA_EMULATING_MODEL_TAG=latest
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### Logging level
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# LOG_LEVEL=INFO
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# VERBOSE=False
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# LOG_DIR=/path/to/log/directory # Log file directory path, defaults to current working directory
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# LOG_MAX_BYTES=10485760 # Log file max size in bytes, defaults to 10MB
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# LOG_BACKUP_COUNT=5 # Number of backup files to keep, defaults to 5
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### Settings for RAG query
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# HISTORY_TURNS=3
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# COSINE_THRESHOLD=0.2
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# TOP_K=60
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# MAX_TOKEN_TEXT_CHUNK=4000
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# MAX_TOKEN_RELATION_DESC=4000
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# MAX_TOKEN_ENTITY_DESC=4000
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### Settings for document indexing
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# SUMMARY_LANGUAGE=English
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# CHUNK_SIZE=1200
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# CHUNK_OVERLAP_SIZE=100
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# MAX_TOKEN_SUMMARY=500 # Max tokens for entity or relations summary
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# MAX_PARALLEL_INSERT=2 # Number of parallel processing documents in one patch
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# MAX_ASYNC=4 # Max concurrency requests of LLM
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# ENABLE_LLM_CACHE_FOR_EXTRACT=true # Enable LLM cache for entity extraction
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# EMBEDDING_BATCH_NUM=32 # num of chunks send to Embedding in one request
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# EMBEDDING_FUNC_MAX_ASYNC=16 # Max concurrency requests for Embedding
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# MAX_EMBED_TOKENS=8192
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### LLM Configuration (Use valid host. For local services installed with docker, you can use host.docker.internal)
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# MAX_TOKENS=32768 # Max tokens send to LLM (less than context size of the model)
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# TIMEOUT=150 # Time out in seconds for LLM, None for infinite timeout
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LLM_BINDING=ollama
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LLM_MODEL=mistral-nemo:latest
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LLM_BINDING_API_KEY=your_api_key
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### Ollama example
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LLM_BINDING_HOST=http://localhost:11434
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### OpenAI alike example
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# LLM_BINDING=openai
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# LLM_MODEL=gpt-4o
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# LLM_BINDING_HOST=https://api.openai.com/v1
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# LLM_BINDING_API_KEY=your_api_key
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### lollms example
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# LLM_BINDING=lollms
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# LLM_MODEL=mistral-nemo:latest
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# LLM_BINDING_HOST=http://localhost:9600
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# LLM_BINDING_API_KEY=your_api_key
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### Embedding Configuration (Use valid host. For local services installed with docker, you can use host.docker.internal)
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EMBEDDING_MODEL=bge-m3:latest
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EMBEDDING_DIM=1024
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# EMBEDDING_BINDING_API_KEY=your_api_key
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### ollama example
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EMBEDDING_BINDING=ollama
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EMBEDDING_BINDING_HOST=http://localhost:11434
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### OpenAI alike example
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# EMBEDDING_BINDING=openai
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# LLM_BINDING_HOST=https://api.openai.com/v1
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### Lollms example
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# EMBEDDING_BINDING=lollms
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# EMBEDDING_BINDING_HOST=http://localhost:9600
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### Optional for Azure (LLM_BINDING_HOST, LLM_BINDING_API_KEY take priority)
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# AZURE_OPENAI_API_VERSION=2024-08-01-preview
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# AZURE_OPENAI_DEPLOYMENT=gpt-4o
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# AZURE_OPENAI_API_KEY=your_api_key
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# AZURE_OPENAI_ENDPOINT=https://myendpoint.openai.azure.com
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# AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large
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# AZURE_EMBEDDING_API_VERSION=2023-05-15
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### Data storage selection
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LIGHTRAG_KV_STORAGE=JsonKVStorage
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LIGHTRAG_VECTOR_STORAGE=NanoVectorDBStorage
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LIGHTRAG_GRAPH_STORAGE=NetworkXStorage
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LIGHTRAG_DOC_STATUS_STORAGE=JsonDocStatusStorage
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### Oracle Database Configuration
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ORACLE_DSN=localhost:1521/XEPDB1
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ORACLE_USER=your_username
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ORACLE_PASSWORD='your_password'
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ORACLE_CONFIG_DIR=/path/to/oracle/config
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#ORACLE_WALLET_LOCATION=/path/to/wallet # optional
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#ORACLE_WALLET_PASSWORD='your_password' # optional
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#ORACLE_WORKSPACE=default # separating all data from difference Lightrag instances(deprecated, use NAMESPACE_PREFIX in future)
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### TiDB Configuration
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TIDB_HOST=localhost
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TIDB_PORT=4000
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TIDB_USER=your_username
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TIDB_PASSWORD='your_password'
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TIDB_DATABASE=your_database
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#TIDB_WORKSPACE=default # separating all data from difference Lightrag instances(deprecated, use NAMESPACE_PREFIX in future)
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### PostgreSQL Configuration
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POSTGRES_HOST=localhost
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POSTGRES_PORT=5432
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POSTGRES_USER=your_username
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POSTGRES_PASSWORD='your_password'
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POSTGRES_DATABASE=your_database
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#POSTGRES_WORKSPACE=default # separating all data from difference Lightrag instances(deprecated, use NAMESPACE_PREFIX in future)
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### Independent AGM Configuration(not for AMG embedded in PostreSQL)
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AGE_POSTGRES_DB=
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AGE_POSTGRES_USER=
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AGE_POSTGRES_PASSWORD=
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AGE_POSTGRES_HOST=
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# AGE_POSTGRES_PORT=8529
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# AGE Graph Name(apply to PostgreSQL and independent AGM)
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# AGE_GRAPH_NAME=lightrag # deprecated, use NAME_SPACE_PREFIX instead
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### Neo4j Configuration
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NEO4J_URI=neo4j+s://xxxxxxxx.databases.neo4j.io
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NEO4J_USERNAME=neo4j
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NEO4J_PASSWORD='your_password'
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### MongoDB Configuration
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MONGODB_URI=mongodb://root:root@localhost:27017/
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MONGODB_DATABASE=LightRAG
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MONGODB_GRAPH=false # deprecated (keep for backward compatibility)
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### Qdrant
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QDRANT_URL=http://localhost:16333
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# QDRANT_API_KEY=your-api-key
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### Redis
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REDIS_URI=redis://localhost:6379
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### For JWT Auth
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# AUTH_ACCOUNTS='admin:admin123,user1:pass456' # username:password,username:password
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# TOKEN_SECRET=Your-Key-For-LightRAG-API-Server # JWT key
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# TOKEN_EXPIRE_HOURS=4 # expire duration
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# WHITELIST_PATHS= # white list |