Added better env example (#982)

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Vasilije 2025-06-24 10:50:23 +02:00 committed by GitHub
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2 changed files with 147 additions and 34 deletions

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@ -1,51 +1,165 @@
ENV="local"
###
### DEV
###
TOKENIZERS_PARALLELISM="false"
# Default User Configuration
DEFAULT_USER_EMAIL=""
DEFAULT_USER_PASSWORD=""
###
### LLM
###
# LLM Configuration
LLM_API_KEY=""
LLM_MODEL="openai/gpt-4o-mini"
LLM_PROVIDER="openai"
LLM_ENDPOINT=""
LLM_API_VERSION=""
###
### simple, "expensive", an OpenAPI key
###
LLM_API_KEY="your_api_key"
###
### DEV LLM, cheap with content filters
###
LLM_MODEL="azure/gpt-4o-mini"
LLM_ENDPOINT="https://DNS.azure.com/openai/deployments/gpt-4o-mini"
LLM_API_KEY="<<TALK TO YOUR AZURE GUY"
LLM_API_VERSION="2024-12-01-preview"
#llm api version might not be relevant
LLM_MAX_TOKENS="16384"
GRAPHISTRY_USERNAME=
GRAPHISTRY_PASSWORD=
EMBEDDING_MODEL="azure/text-embedding-3-large"
EMBEDDING_ENDPOINT="https://DNS.openai.azure.com/openai/deployments/text-embedding-3-large"
EMBEDDING_API_KEY="<<TALK TO YOUR AZURE GUY>"
EMBEDDING_API_VERSION="2024-12-01-preview"
EMBEDDING_DIMENSIONS=3072
EMBEDDING_MAX_TOKENS=8191
SENTRY_REPORTING_URL=
###
### free local LLM, install it
###
LLM_API_KEY = "ollama"
LLM_MODEL = "llama3.1:8b"
LLM_PROVIDER = "ollama"
LLM_ENDPOINT = "http://localhost:11434/v1"
EMBEDDING_PROVIDER = "ollama"
EMBEDDING_MODEL = "avr/sfr-embedding-mistral:latest"
EMBEDDING_ENDPOINT = "http://localhost:11434/api/embeddings"
EMBEDDING_DIMENSIONS = 4096
HUGGINGFACE_TOKENIZER = "Salesforce/SFR-Embedding-Mistral"
###
### openrouter, also frewe
###
LLM_API_KEY="<<go-get-one-yourself"
LLM_PROVIDER="custom"
LLM_MODEL="openrouter/google/gemini-2.0-flash-lite-preview-02-05:free"
LLM_ENDPOINT="https://openrouter.ai/api/v1"
###
### deepinfra
###
LLM_API_KEY="<<>>"
LLM_PROVIDER="custom"
LLM_MODEL="deepinfra/meta-llama/Meta-Llama-3-8B-Instruct"
LLM_ENDPOINT="https://api.deepinfra.com/v1/openai"
# Embedding Configuration
EMBEDDING_PROVIDER="openai"
EMBEDDING_API_KEY=""
EMBEDDING_MODEL="openai/text-embedding-3-large"
EMBEDDING_API_KEY="<<>>"
EMBEDDING_MODEL="deepinfra/BAAI/bge-base-en-v1.5"
EMBEDDING_ENDPOINT=""
EMBEDDING_API_VERSION=""
EMBEDDING_DIMENSIONS=3072
EMBEDDING_MAX_TOKENS=8191
# "neo4j", "networkx", "kuzu" or "memgraph"
###
### DB
###
###
### db minimal/default
###
GRAPH_DATABASE_PROVIDER="networkx"
# Only needed if using neo4j or memgraph
GRAPH_DATABASE_URL=
GRAPH_DATABASE_USERNAME=
GRAPH_DATABASE_PASSWORD=
# "qdrant", "pgvector", "weaviate", "milvus", "lancedb" or "chromadb"
VECTOR_DB_PROVIDER="lancedb"
# Not needed if using "lancedb" or "pgvector"
VECTOR_DB_URL=
VECTOR_DB_KEY=
# Relational Database provider "sqlite" or "postgres"
DB_PROVIDER="sqlite"
# Database name
DB_PROVIDER=sqlite
DB_NAME=cognee_db
###
### Relational options
###
DB_PROVIDER="sqlite"
DB_NAME=cognee_db
DB_PROVIDER=postgres
DB_NAME=cognee_db
DB_HOST=127.0.0.1
DB_PORT=5432
DB_USERNAME=cognee
DB_PASSWORD=cognee
###
### Graph options
###
#Default
GRAPH_DATABASE_PROVIDER="kuzu"
#or if using remote
GRAPH_DATABASE_PROVIDER="kuzu"
GRAPH_DATABASE_PROVIDER="kuzu-remote"
GRAPH_DATABASE_URL="http://localhost:8000"
GRAPH_DATABASE_USERNAME=XXX
GRAPH_DATABASE_PASSWORD=YYY
# or if using neo4j
GRAPH_DATABASE_PROVIDER="neo4j"
GRAPH_DATABASE_URL=bolt://localhost:7687
GRAPH_DATABASE_USERNAME=neo4j
GRAPH_DATABASE_PASSWORD=localneo4j
###
### Vector options
###
VECTOR_DB_PROVIDER="lancedb"
VECTOR_DB_PROVIDER="pgvector"
###
### for release test
###
LLM_API_KEY="..."
OPENAI_API_KEY="..."
MIGRATION_DB_PATH="~/Downloads/"
MIGRATION_DB_NAME="Chinook_Sqlite.sqlite"
MIGRATION_DB_PROVIDER="sqlite"
GRAPH_DATABASE_URL="bolt://54.246.89.112:7687"
GRAPH_DATABASE_USERNAME="neo4j"
GRAPH_DATABASE_PASSWORD="pleaseletmein"
###
### ROOT DIRECTORY IF USING COGNEE LIB INSIDE A DOCKER
###
# Set up the Cognee system directory. Cognee will store system files and databases here.
DATA_ROOT_DIRECTORY ='/cognee_data/data'
SYSTEM_ROOT_DIRECTORY= '/cognee_data/system'
# Postgres specific parameters (Only if Postgres or PGVector is used). Do not use for cognee default simplest setup of SQLite-NetworkX-LanceDB
# DB_USERNAME=cognee
# DB_PASSWORD=cognee
@ -79,3 +193,4 @@ LITELLM_LOG="ERROR"
#
# It enforces LanceDB and KuzuDB use and uses them to create databases per Cognee user + dataset
ENABLE_BACKEND_ACCESS_CONTROL=False

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@ -198,7 +198,5 @@ if __name__ == "__main__":
logger = setup_logging()
start_api_server(
host=os.getenv("HTTP_API_HOST", "0.0.0.0"),
port=int(os.getenv("HTTP_API_PORT", 8000))
host=os.getenv("HTTP_API_HOST", "0.0.0.0"), port=int(os.getenv("HTTP_API_PORT", 8000))
)