### 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

### Tiktoken Cache Configuration (for offline deployment)

### Set this to a local directory containing cached tiktoken models

### This prevents tiktoken from downloading models from the internet on initialization

### See docs/offline_setup.md for setup instructions

# TIKTOKEN_CACHE_DIR=./tiktoken_cache

### 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=<absolute_path_for_doc_input_dir>

### RAGAnything Configuration (Multimodal Document Processing)

### ---

### Parser Configuration

# PARSE_METHOD=auto

# OUTPUT_DIR=./output

# PARSER=mineru # Options: mineru, docling, paddleocr

# DISPLAY_CONTENT_STATS=true

### Multimodal Processing Configuration

# ENABLE_IMAGE_PROCESSING=true

# ENABLE_TABLE_PROCESSING=true

# ENABLE_EQUATION_PROCESSING=true

### Batch Processing Configuration

# MAX_CONCURRENT_FILES=1

# SUPPORTED_FILE_EXTENSIONS=.pdf,.jpg,.jpeg,.png,.bmp,.tiff,.tif,.gif,.webp,.doc,.docx,.ppt,.pptx,.xls,.xlsx,.txt,.md

# RECURSIVE_FOLDER_PROCESSING=true

### Context Extraction Configuration

# CONTEXT_WINDOW=1

# CONTEXT_MODE=page

# MAX_CONTEXT_TOKENS=2000

# INCLUDE_HEADERS=true

# INCLUDE_CAPTIONS=true

# CONTEXT_FILTER_CONTENT_TYPES=text

# CONTENT_FORMAT=minerU

### 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 relation 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: max tokens send to LLM for entity relation summaries (less than context size of the model)

### MAX_TOKENS: set as num_ctx option for Ollama by API Server

MAX_TOKENS=32768

### LLM Binding type: openai, ollama, lollms, azure_openai, lmstudio, vllm

LLM_BINDING=openai

LLM_MODEL=gpt-4o

LLM_BINDING_HOST=https://api.openai.com/v1

LLM_BINDING_API_KEY=your_api_key

### Optional for Azure

# AZURE_OPENAI_API_VERSION=2024-08-01-preview

# AZURE_OPENAI_DEPLOYMENT=gpt-4o

### vLLM Configuration (high-throughput production inference)

### See docs/vllm_integration.md for setup guide

# LLM_BINDING=vllm

# LLM_MODEL=Qwen/Qwen2.5-72B-Instruct

# LLM_BINDING_HOST=http://localhost:8000/v1

# LLM_BINDING_API_KEY=token-abc123

### Embedding Configuration

### Embedding Binding type: openai, ollama, lollms, azure_openai, lmstudio, vllm

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

### Optional for Azure

# AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large

# AZURE_EMBEDDING_API_VERSION=2023-05-15

### 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 PostgreSQL)

# 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 deprecated

# 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