Reorganize env config sections, add data store config to env file.

• Add namespace prefix config option
• Make AGE graph name optional
• Update env variable requirements
• Add comments for deprecated options

.env.example

@@ -1,12 +1,30 @@
-# Server Configuration
+### Server Configuration
-HOST=0.0.0.0
+#HOST=0.0.0.0
-PORT=9621
+#PORT=9621
+#NAMESPACE_PREFIX=lightrag  # separating data from difference Lightrag instances
 
-# Directory Configuration
+### Optional SSL Configuration
-WORKING_DIR=/app/data/rag_storage
+#SSL=true
-INPUT_DIR=/app/data/inputs
+#SSL_CERTFILE=/path/to/cert.pem
+#SSL_KEYFILE=/path/to/key.pem
 
-# RAG Configuration
+### Security (empty for no api-key is needed)
+# LIGHTRAG_API_KEY=your-secure-api-key-here
+
+### Directory Configuration
+# WORKING_DIR=./rag_storage
+# INPUT_DIR=./inputs
+
+### Logging level
+LOG_LEVEL=INFO
+
+### Optional Timeout
+TIMEOUT=300
+
+# Ollama Emulating Model Tag
+# OLLAMA_EMULATING_MODEL_TAG=latest
+
+### RAG Configuration
 MAX_ASYNC=4
 MAX_TOKENS=32768
 EMBEDDING_DIM=1024
@@ -17,53 +35,39 @@ MAX_EMBED_TOKENS=8192
 #COSINE_THRESHOLD=0.4   # 0.2 while not running API server
 #TOP_K=50               # 60  while not running API server
 
-# LLM Configuration (Use valid host. For local services, you can use host.docker.internal)
+### LLM Configuration (Use valid host. For local services, you can use host.docker.internal)
-# Ollama example
+### Ollama example
 LLM_BINDING=ollama
 LLM_BINDING_HOST=http://host.docker.internal:11434
 LLM_MODEL=mistral-nemo:latest
 
-# OpenAI alike example
+### OpenAI alike example
 # LLM_BINDING=openai
 # LLM_MODEL=deepseek-chat
 # LLM_BINDING_HOST=https://api.deepseek.com
 # LLM_BINDING_API_KEY=your_api_key
 
-# for OpenAI LLM (LLM_BINDING_API_KEY take priority)
+### for OpenAI LLM (LLM_BINDING_API_KEY take priority)
 # OPENAI_API_KEY=your_api_key
 
-# Lollms example
+### Lollms example
 # LLM_BINDING=lollms
 # LLM_BINDING_HOST=http://host.docker.internal:9600
 # LLM_MODEL=mistral-nemo:latest
 
 
-# Embedding Configuration (Use valid host. For local services, you can use host.docker.internal)
+### Embedding Configuration (Use valid host. For local services, you can use host.docker.internal)
 # Ollama example
 EMBEDDING_BINDING=ollama
 EMBEDDING_BINDING_HOST=http://host.docker.internal:11434
 EMBEDDING_MODEL=bge-m3:latest
 
-# Lollms example
+### Lollms example
 # EMBEDDING_BINDING=lollms
 # EMBEDDING_BINDING_HOST=http://host.docker.internal:9600
 # EMBEDDING_MODEL=bge-m3:latest
 
-# Security (empty for no key)
+### Optional for Azure (LLM_BINDING_HOST, LLM_BINDING_API_KEY take priority)
-LIGHTRAG_API_KEY=your-secure-api-key-here
-
-# Logging
-LOG_LEVEL=INFO
-
-# Optional SSL Configuration
-#SSL=true
-#SSL_CERTFILE=/path/to/cert.pem
-#SSL_KEYFILE=/path/to/key.pem
-
-# Optional Timeout
-#TIMEOUT=30
-
-# Optional for Azure (LLM_BINDING_HOST, LLM_BINDING_API_KEY take priority)
 # AZURE_OPENAI_API_VERSION=2024-08-01-preview
 # AZURE_OPENAI_DEPLOYMENT=gpt-4o
 # AZURE_OPENAI_API_KEY=myapikey
@@ -72,54 +76,57 @@ LOG_LEVEL=INFO
 # AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large
 # AZURE_EMBEDDING_API_VERSION=2023-05-15
 
-# Ollama Emulating Model Tag
+### Data storage selection
-# OLLAMA_EMULATING_MODEL_TAG=latest
-
-
-# Data storage selection
 # LIGHTRAG_KV_STORAGE=PGKVStorage
 # LIGHTRAG_VECTOR_STORAGE=PGVectorStorage
 # LIGHTRAG_GRAPH_STORAGE=PGGraphStorage
 # LIGHTRAG_DOC_STATUS_STORAGE=PGDocStatusStorage
 
-# Oracle Database Configuration
+### Oracle Database Configuration
 ORACLE_DSN=localhost:1521/XEPDB1
 ORACLE_USER=your_username
 ORACLE_PASSWORD='your_password'
 ORACLE_CONFIG_DIR=/path/to/oracle/config
-ORACLE_WALLET_LOCATION=/path/to/wallet  # 可选
+#ORACLE_WALLET_LOCATION=/path/to/wallet  # optional
-#ORACLE_WALLET_PASSWORD='your_password'  # 可选
+#ORACLE_WALLET_PASSWORD='your_password'  # optional
-#ORACLE_WORKSPACE=default  # 可选,默认为default
+#ORACLE_WORKSPACE=default  # separating all data from difference Lightrag instances(deprecated, use NAMESPACE_PREFIX in future)
 
-# TiDB Configuration
+### TiDB Configuration
 TIDB_HOST=localhost
 TIDB_PORT=4000
 TIDB_USER=your_username
 TIDB_PASSWORD='your_password'
 TIDB_DATABASE=your_database
-#TIDB_WORKSPACE=default  # 可选,默认为default
+#TIDB_WORKSPACE=default  # separating all data from difference Lightrag instances(deprecated, use NAMESPACE_PREFIX in future)
 
-# PostgreSQL Configuration
+### PostgreSQL Configuration
 POSTGRES_HOST=localhost
 POSTGRES_PORT=5432
 POSTGRES_USER=your_username
 POSTGRES_PASSWORD='your_password'
 POSTGRES_DATABASE=your_database
-#POSTGRES_WORKSPACE=default  # 可选,默认为default
+#POSTGRES_WORKSPACE=default  # separating all data from difference Lightrag instances(deprecated, use NAMESPACE_PREFIX in future)
-# AGE Configuration
-AGE_GRAPH_NAME=dickens
 
-# Database Configurations
+### Independent AGM Configuration(not for AMG embedded in PostreSQL)
-# Neo4j
+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=lightrag  # deprecated, use NAME_SPACE_PREFIX instead
+
+### Neo4j Configuration
 NEO4J_URI=neo4j+s://xxxxxxxx.databases.neo4j.io
 NEO4J_USERNAME=neo4j
 NEO4J_PASSWORD='your_password'
 
-# MongoDB (可选)
+### MongoDB Configuration
-MONGODB_URI=mongodb+srv://name:password@your-cluster-address
+MONGODB_URI=mongodb://root:root@localhost:27017/
-MONGODB_DATABASE=lightrag
+MONGODB_DATABASE=LightRAG
-MONGODB_GRAPH=false
+MONGODB_GRAPH=false # deprecated (keep for backward compatibility)
 
-# Qdrant
+### Qdrant
 QDRANT_URL=http://localhost:16333
 QDRANT_API_KEY=your-api-key  # 可选

lightrag/kg/age_impl.py

@@ -75,8 +75,8 @@ class AGEStorage(BaseGraphStorage):
             .replace("'", "\\'")
         )
         HOST = os.environ["AGE_POSTGRES_HOST"].replace("\\", "\\\\").replace("'", "\\'")
-        PORT = int(os.environ["AGE_POSTGRES_PORT"])
+        PORT = os.environ.get("AGE_POSTGRES_PORT", "8529")
-        self.graph_name = os.environ["AGE_GRAPH_NAME"]
+        self.graph_name = namespace or os.environ.get("AGE_GRAPH_NAME", "lightrag")
 
         connection_string = f"dbname='{DB}' user='{USER}' password='{PASSWORD}' host='{HOST}' port={PORT}"
 

lightrag/lightrag.py

@@ -107,10 +107,13 @@ STORAGE_ENV_REQUIREMENTS = {
         "AGE_POSTGRES_DB",
         "AGE_POSTGRES_USER",
         "AGE_POSTGRES_PASSWORD",
-        "AGE_GRAPH_NAME",
     ],
     "GremlinStorage": ["GREMLIN_HOST", "GREMLIN_PORT", "GREMLIN_GRAPH"],
-    "PGGraphStorage": ["POSTGRES_USER", "POSTGRES_PASSWORD", "POSTGRES_DATABASE"],
+    "PGGraphStorage": [
+        "POSTGRES_USER",
+        "POSTGRES_PASSWORD",
+        "POSTGRES_DATABASE",
+    ],
     "OracleGraphStorage": [
         "ORACLE_DSN",
         "ORACLE_USER",