chore: fix typo in .env.template (#1122)
## Description Fixed a minor typo in `.env.template`. Not the biggest change, but that's a start ¯\_(ツ)_/¯ ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin.
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1 changed files with 151 additions and 165 deletions
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.env.template
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.env.template
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@ -1,112 +1,189 @@
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###############################################################################
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# NOTE: With default settings Cognee only needs an OpenAI LLM_API_KEY to be set.
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# The rest of the settings don't have to be set.
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# Default relational database: SQLite
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# Default vector database : LanceDB
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# Default graph database : Kuzu
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#
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# These default databases are all file-based, so no extra setup is needed
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# for local use.
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###############################################################################
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################################################################################
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# 🧠 LLM Settings
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################################################################################
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###
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### DEV
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###
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TOKENIZERS_PARALLELISM="false"
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###
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### LLM
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###
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###
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### simple, "expensive", an OpenAPI key
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###
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LLM_API_KEY="your_api_key"
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LLM_MODEL="openai/gpt-4o-mini"
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LLM_PROVIDER="openai"
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LLM_ENDPOINT=""
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LLM_API_VERSION=""
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###
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### DEV LLM, cheap with content filters
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###
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LLM_MODEL="azure/gpt-4o-mini"
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LLM_ENDPOINT="https://DNS.azure.com/openai/deployments/gpt-4o-mini"
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LLM_API_KEY="<<TALK TO YOUR AZURE GUY"
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LLM_API_VERSION="2024-12-01-preview"
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#llm api version might not be relevant
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LLM_MAX_TOKENS="16384"
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EMBEDDING_MODEL="azure/text-embedding-3-large"
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EMBEDDING_ENDPOINT="https://DNS.openai.azure.com/openai/deployments/text-embedding-3-large"
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EMBEDDING_API_KEY="<<TALK TO YOUR AZURE GUY>"
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EMBEDDING_API_VERSION="2024-12-01-preview"
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EMBEDDING_DIMENSIONS=3072
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EMBEDDING_MAX_TOKENS=8191
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###
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### free local LLM, install it
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###
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LLM_API_KEY = "ollama"
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LLM_MODEL = "llama3.1:8b"
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LLM_PROVIDER = "ollama"
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LLM_ENDPOINT = "http://localhost:11434/v1"
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EMBEDDING_PROVIDER = "ollama"
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EMBEDDING_MODEL = "avr/sfr-embedding-mistral:latest"
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EMBEDDING_ENDPOINT = "http://localhost:11434/api/embeddings"
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EMBEDDING_DIMENSIONS = 4096
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HUGGINGFACE_TOKENIZER = "Salesforce/SFR-Embedding-Mistral"
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###
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### openrouter, also frewe
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###
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LLM_API_KEY="<<go-get-one-yourself"
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LLM_PROVIDER="custom"
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LLM_MODEL="openrouter/google/gemini-2.0-flash-lite-preview-02-05:free"
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LLM_ENDPOINT="https://openrouter.ai/api/v1"
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###
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### deepinfra
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###
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LLM_API_KEY="<<>>"
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LLM_PROVIDER="custom"
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LLM_MODEL="deepinfra/meta-llama/Meta-Llama-3-8B-Instruct"
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LLM_ENDPOINT="https://api.deepinfra.com/v1/openai"
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EMBEDDING_PROVIDER="openai"
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EMBEDDING_MODEL="openai/text-embedding-3-large"
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EMBEDDING_API_KEY="<<>>"
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EMBEDDING_MODEL="deepinfra/BAAI/bge-base-en-v1.5"
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EMBEDDING_ENDPOINT=""
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EMBEDDING_API_VERSION=""
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EMBEDDING_DIMENSIONS=3072
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EMBEDDING_MAX_TOKENS=8191
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# If embedding key is not provided same key set for LLM_API_KEY will be used
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#EMBEDDING_API_KEY="your_api_key"
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################################################################################
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# 🗄️ Relational database settings
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################################################################################
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###
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### DB
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###
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###
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### db minimal/default
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###
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GRAPH_DATABASE_PROVIDER="networkx"
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VECTOR_DB_PROVIDER="lancedb"
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DB_PROVIDER=sqlite
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DB_NAME=cognee_db
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###
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### Relational options
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###
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DB_PROVIDER="sqlite"
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DB_NAME=cognee_db
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# -- To switch to Postgres / PGVector, uncomment and fill these: -------------
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#DB_PROVIDER=postgres
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#DB_NAME=cognee_db
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# To use Postgres with the Cognee backend in Docker compose use the following instead: DB_HOST=host.docker.internal
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#DB_HOST=127.0.0.1
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#DB_PORT=5432
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#DB_USERNAME=cognee
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#DB_PASSWORD=cognee
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DB_PROVIDER=postgres
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DB_NAME=cognee_db
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DB_HOST=127.0.0.1
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DB_PORT=5432
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DB_USERNAME=cognee
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DB_PASSWORD=cognee
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################################################################################
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# 🕸️ Graph Database settings
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################################################################################
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###
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### Graph options
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###
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#Default
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# Default (local file-based)
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GRAPH_DATABASE_PROVIDER="kuzu"
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# -- To switch to Remote Kuzu uncomment and fill these: -------------------------------------------------------------
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#GRAPH_DATABASE_PROVIDER="kuzu"
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#GRAPH_DATABASE_PROVIDER="kuzu-remote"
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#GRAPH_DATABASE_URL="http://localhost:8000"
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#GRAPH_DATABASE_USERNAME=XXX
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#GRAPH_DATABASE_PASSWORD=YYY
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#or if using remote
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# -- To switch to Neo4j uncomment and fill these: -------------------------------------------------------------------
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#GRAPH_DATABASE_PROVIDER="neo4j"
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#GRAPH_DATABASE_URL=bolt://localhost:7687
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#GRAPH_DATABASE_USERNAME=neo4j
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#GRAPH_DATABASE_PASSWORD=localneo4j
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GRAPH_DATABASE_PROVIDER="kuzu"
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GRAPH_DATABASE_PROVIDER="kuzu-remote"
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GRAPH_DATABASE_URL="http://localhost:8000"
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GRAPH_DATABASE_USERNAME=XXX
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GRAPH_DATABASE_PASSWORD=YYY
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################################################################################
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# 📐 Vector Database settings
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################################################################################
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# or if using neo4j
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GRAPH_DATABASE_PROVIDER="neo4j"
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GRAPH_DATABASE_URL=bolt://localhost:7687
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GRAPH_DATABASE_USERNAME=neo4j
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GRAPH_DATABASE_PASSWORD=localneo4j
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###
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### Vector options
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###
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# Supported providers: pgvector | qdrant | weaviate | milvus | lancedb | chromadb
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VECTOR_DB_PROVIDER="lancedb"
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# Not needed if a cloud vector database is not used
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VECTOR_DB_URL=
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VECTOR_DB_KEY=
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################################################################################
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# 📂 ROOT DIRECTORY IF USING COGNEE LIB INSIDE A DOCKER
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################################################################################
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# Set up the Cognee system directory. Cognee will store system files and databases here.
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DATA_ROOT_DIRECTORY='/cognee_data/data'
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SYSTEM_ROOT_DIRECTORY='/cognee_data/system'
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VECTOR_DB_PROVIDER="pgvector"
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###
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### for release test
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###
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################################################################################
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# 🔄 MIGRATION (RELATIONAL → GRAPH) SETTINGS
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################################################################################
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LLM_API_KEY="..."
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MIGRATION_DB_PATH="/path/to/migration/directory"
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MIGRATION_DB_NAME="migration_database.sqlite"
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OPENAI_API_KEY="..."
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MIGRATION_DB_PATH="~/Downloads/"
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MIGRATION_DB_NAME="Chinook_Sqlite.sqlite"
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MIGRATION_DB_PROVIDER="sqlite"
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# -- Postgres-specific migration params --------------------------------------
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GRAPH_DATABASE_URL="bolt://54.246.89.112:7687"
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GRAPH_DATABASE_USERNAME="neo4j"
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GRAPH_DATABASE_PASSWORD="pleaseletmein"
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###
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### ROOT DIRECTORY IF USING COGNEE LIB INSIDE A DOCKER
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###
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# Set up the Cognee system directory. Cognee will store system files and databases here.
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DATA_ROOT_DIRECTORY ='/cognee_data/data'
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SYSTEM_ROOT_DIRECTORY= '/cognee_data/system'
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# Postgres specific parameters (Only if Postgres or PGVector is used). Do not use for cognee default simplest setup of SQLite-NetworkX-LanceDB
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# DB_USERNAME=cognee
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# DB_PASSWORD=cognee
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# To use Postgres with the Cognee backend in Docker compose use the following instead: DB_HOST=host.docker.internal
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# DB_HOST=127.0.0.1
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# DB_PORT=5432
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# Params for migrating relational database data to graph / Cognee ( PostgreSQL and SQLite supported )
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# MIGRATION_DB_PATH="/path/to/migration/directory"
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# MIGRATION_DB_NAME="migration_database.sqlite"
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# MIGRATION_DB_PROVIDER="sqlite"
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# Postgres specific parameters for migration
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# MIGRATION_DB_USERNAME=cognee
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# MIGRATION_DB_PASSWORD=cognee
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# MIGRATION_DB_HOST="127.0.0.1"
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# MIGRATION_DB_PORT=5432
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################################################################################
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# 🔒 Security Settings
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################################################################################
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# LITELLM Logging Level. Set to quiten down logging
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LITELLM_LOG="ERROR"
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# When set to false don't allow adding of local system files to Cognee. Should be set to False when Cognee is used as a backend.
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ACCEPT_LOCAL_FILE_PATH=True
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# When set to false don't allow HTTP requests to be sent from Cognee.
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# This protects against Server Side Request Forgery when proper infrastructure is not in place.
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ALLOW_HTTP_REQUESTS=True
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# Set this environment variable to disable sending telemetry data
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# TELEMETRY_DISABLED=1
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# Set this variable to True to enforce usage of backend access control for Cognee
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# Note: This is only currently supported by the following databases:
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@ -117,94 +194,3 @@ ALLOW_HTTP_REQUESTS=True
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# It enforces LanceDB and KuzuDB use and uses them to create databases per Cognee user + dataset
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ENABLE_BACKEND_ACCESS_CONTROL=False
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################################################################################
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# 🛠️ DEV Settings
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################################################################################
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ENV="local"
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TOKENIZERS_PARALLELISM="false"
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# LITELLM Logging Level. Set to quiet down logging
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LITELLM_LOG="ERROR"
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# Set this environment variable to disable sending telemetry data
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# TELEMETRY_DISABLED=1
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# Default User Configuration
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# DEFAULT_USER_EMAIL=""
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# DEFAULT_USER_PASSWORD=""
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------------------------------- END OF POSSIBLE SETTINGS -------------------------------
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###############################################################################
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# 🧪 EXAMPLE OVERRIDES (commented out)
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###############################################################################
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# The blocks below show how to configure alternative providers.
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# Uncomment + fill values to switch.
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########## Azure OpenAI #######################################################
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#LLM_MODEL="azure/gpt-4o-mini"
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#LLM_ENDPOINT="https://DNS.azure.com/openai/deployments/gpt-4o-mini"
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#LLM_API_KEY="<<TALK TO YOUR AZURE GUY"
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#LLM_API_VERSION="2024-12-01-preview"
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## llm api version might not be relevant
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#LLM_MAX_TOKENS="16384"
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#EMBEDDING_MODEL="azure/text-embedding-3-large"
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#EMBEDDING_ENDPOINT="https://DNS.openai.azure.com/openai/deployments/text-embedding-3-large"
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#EMBEDDING_API_KEY="<<TALK TO YOUR AZURE GUY>"
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#EMBEDDING_API_VERSION="2024-12-01-preview"
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#EMBEDDING_DIMENSIONS=3072
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#EMBEDDING_MAX_TOKENS=8191
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########## Local LLM via Ollama ###############################################
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#LLM_API_KEY ="ollama"
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#LLM_MODEL="llama3.1:8b"
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#LLM_PROVIDER="ollama"
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#LLM_ENDPOINT="http://localhost:11434/v1"
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#EMBEDDING_PROVIDER="ollama"
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#EMBEDDING_MODEL="avr/sfr-embedding-mistral:latest"
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#EMBEDDING_ENDPOINT="http://localhost:11434/api/embeddings"
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#EMBEDDING_DIMENSIONS=4096
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#HUGGINGFACE_TOKENIZER="Salesforce/SFR-Embedding-Mistral"
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########## OpenRouter (also free) #########################################################
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#LLM_API_KEY="<<go-get-one-yourself"
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#LLM_PROVIDER="custom"
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#LLM_MODEL="openrouter/google/gemini-2.0-flash-lite-preview-02-05:free"
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#LLM_ENDPOINT="https://openrouter.ai/api/v1"
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########## DeepInfra ##########################################################
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#LLM_API_KEY="<<>>"
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#LLM_PROVIDER="custom"
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#LLM_MODEL="deepinfra/meta-llama/Meta-Llama-3-8B-Instruct"
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#LLM_ENDPOINT="https://api.deepinfra.com/v1/openai"
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#EMBEDDING_PROVIDER="openai"
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#EMBEDDING_API_KEY="<<>>"
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#EMBEDDING_MODEL="deepinfra/BAAI/bge-base-en-v1.5"
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#EMBEDDING_ENDPOINT=""
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#EMBEDDING_API_VERSION=""
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#EMBEDDING_DIMENSIONS=3072
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#EMBEDDING_MAX_TOKENS=8191
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########## Release Test ###############################################
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#LLM_API_KEY="..."
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#OPENAI_API_KEY="..."
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#MIGRATION_DB_PATH="~/Downloads/"
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#MIGRATION_DB_NAME="Chinook_Sqlite.sqlite"
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#MIGRATION_DB_PROVIDER="sqlite"
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#GRAPH_DATABASE_URL="bolt://54.246.89.112:7687"
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#GRAPH_DATABASE_USERNAME="neo4j"
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#GRAPH_DATABASE_PASSWORD="pleaseletmein"
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