### This is sample file of .env ### Server Configuration HOST=0.0.0.0 PORT=9621 WEBUI_TITLE='My Graph KB' WEBUI_DESCRIPTION="Simple and Fast Graph Based RAG System" OLLAMA_EMULATING_MODEL_TAG=latest # WORKERS=2 # CORS_ORIGINS=http://localhost:3000,http://localhost:8080 ### Login Configuration # AUTH_ACCOUNTS='admin:admin123,user1:pass456' # TOKEN_SECRET=Your-Key-For-LightRAG-API-Server # TOKEN_EXPIRE_HOURS=48 # GUEST_TOKEN_EXPIRE_HOURS=24 # JWT_ALGORITHM=HS256 ### API-Key to access LightRAG Server API # LIGHTRAG_API_KEY=your-secure-api-key-here # WHITELIST_PATHS=/health,/api/* ### Optional SSL Configuration # SSL=true # SSL_CERTFILE=/path/to/cert.pem # SSL_KEYFILE=/path/to/key.pem ### Directory Configuration (defaults to current working directory) ### Should not be set if deploy by docker (Set by Dockerfile instead of .env) ### Default value is ./inputs and ./rag_storage # INPUT_DIR= # WORKING_DIR= ### Max nodes return from grap retrieval # MAX_GRAPH_NODES=1000 ### Logging level # LOG_LEVEL=INFO # VERBOSE=False # LOG_MAX_BYTES=10485760 # LOG_BACKUP_COUNT=5 ### Logfile location (defaults to current working directory) # LOG_DIR=/path/to/log/directory ### Settings for RAG query # HISTORY_TURNS=3 # COSINE_THRESHOLD=0.2 # TOP_K=60 # MAX_TOKEN_TEXT_CHUNK=4000 # MAX_TOKEN_RELATION_DESC=4000 # MAX_TOKEN_ENTITY_DESC=4000 ### Entity and ralation summarization configuration ### Language: English, Chinese, French, German ... SUMMARY_LANGUAGE=English ### Number of duplicated entities/edges to trigger LLM re-summary on merge ( at least 3 is recommented) # FORCE_LLM_SUMMARY_ON_MERGE=6 ### Max tokens for entity/relations description after merge # MAX_TOKEN_SUMMARY=500 ### Number of parallel processing documents(Less than MAX_ASYNC/2 is recommended) # MAX_PARALLEL_INSERT=2 ### Chunk size for document splitting, 500~1500 is recommended # CHUNK_SIZE=1200 # CHUNK_OVERLAP_SIZE=100 ### LLM Configuration ENABLE_LLM_CACHE=true ENABLE_LLM_CACHE_FOR_EXTRACT=true ### Time out in seconds for LLM, None for infinite timeout TIMEOUT=240 ### Some models like o1-mini require temperature to be set to 1 TEMPERATURE=0 ### Max concurrency requests of LLM MAX_ASYNC=4 ### Max tokens send to LLM for entity relation summaries (less than context size of the model) MAX_TOKENS=32768 ### LLM Binding type: openai, ollama, lollms LLM_BINDING=openai LLM_MODEL=gpt-4o LLM_BINDING_HOST=https://api.openai.com/v1 LLM_BINDING_API_KEY=your_api_key ### Embedding Configuration ### Embedding Binding type: openai, ollama, lollms EMBEDDING_BINDING=ollama EMBEDDING_MODEL=bge-m3:latest EMBEDDING_DIM=1024 EMBEDDING_BINDING_API_KEY=your_api_key # If the embedding service is deployed within the same Docker stack, use host.docker.internal instead of localhost EMBEDDING_BINDING_HOST=http://localhost:11434 ### Num of chunks send to Embedding in single request # EMBEDDING_BATCH_NUM=32 ### Max concurrency requests for Embedding # EMBEDDING_FUNC_MAX_ASYNC=16 ### Maximum tokens sent to Embedding for each chunk (no longer in use?) # MAX_EMBED_TOKENS=8192 ### Data storage selection # LIGHTRAG_KV_STORAGE=PGKVStorage # LIGHTRAG_VECTOR_STORAGE=PGVectorStorage # LIGHTRAG_DOC_STATUS_STORAGE=PGDocStatusStorage # LIGHTRAG_GRAPH_STORAGE=Neo4JStorage ### TiDB Configuration (Deprecated) # TIDB_HOST=localhost # TIDB_PORT=4000 # TIDB_USER=your_username # TIDB_PASSWORD='your_password' # TIDB_DATABASE=your_database ### separating all data from difference Lightrag instances(deprecating) # TIDB_WORKSPACE=default ### PostgreSQL Configuration POSTGRES_HOST=localhost POSTGRES_PORT=5432 POSTGRES_USER=your_username POSTGRES_PASSWORD='your_password' POSTGRES_DATABASE=your_database POSTGRES_MAX_CONNECTIONS=12 ### separating all data from difference Lightrag instances(deprecating) # POSTGRES_WORKSPACE=default ### Neo4j Configuration NEO4J_URI=neo4j+s://xxxxxxxx.databases.neo4j.io NEO4J_USERNAME=neo4j NEO4J_PASSWORD='your_password' ### Independent AGM Configuration(not for AMG embedded in PostreSQL) # AGE_POSTGRES_DB= # AGE_POSTGRES_USER= # AGE_POSTGRES_PASSWORD= # AGE_POSTGRES_HOST= # AGE_POSTGRES_PORT=8529 # AGE Graph Name(apply to PostgreSQL and independent AGM) ### AGE_GRAPH_NAME is precated # AGE_GRAPH_NAME=lightrag ### MongoDB Configuration MONGO_URI=mongodb://root:root@localhost:27017/ MONGO_DATABASE=LightRAG ### separating all data from difference Lightrag instances(deprecating) # MONGODB_GRAPH=false ### Milvus Configuration MILVUS_URI=http://localhost:19530 MILVUS_DB_NAME=lightrag # MILVUS_USER=root # MILVUS_PASSWORD=your_password # MILVUS_TOKEN=your_token ### Qdrant QDRANT_URL=http://localhost:16333 # QDRANT_API_KEY=your-api-key ### Redis REDIS_URI=redis://localhost:6379