How to run graphdb on local

python -m venv venv

python -m venv venv

git clone https://github.com/microsoft/graphrag.git

git clone https://github.com/microsoft/graphrag.git

cd graphrag
git checkout v0.9.0

cd graphrag
git checkout v0.9.0

fastapi = "^0.115.0"
uvicorn = "^0.31.0"
asyncio = "^3.4.3"
utils = "^1.0.2"

fastapi = "^0.115.0"
uvicorn = "^0.31.0"
asyncio = "^3.4.3"
utils = "^1.0.2"

poetry install

poetry install

git clone https://github.com/brightwang/graphrag-dify.git

git clone https://github.com/brightwang/graphrag-dify.git

mkdir knowledge
poetry run poe init --root ./knowledge/01_denodo

mkdir knowledge
poetry run poe init --root ./knowledge/01_denodo

llm:
  type: azure_openai_chat
  api_base: ${AZURE_OPENAI_API_BASE}
  api_version: ${AZURE_OPENAI_CHAT_API_VERSION}
  auth_type: api_key # or azure_managed_identity
  api_key: ${AZURE_OPENAI_CHAT_API_KEY}
  # audience: "https://cognitiveservices.azure.com/.default"
  # organization: <organization_id>
  model: ${AZURE_OPENAI_CHAT_MODEL}
  deployment_name: ${AZURE_OPENAI_CHAT_DEPLOYMENT_NAME}
  # encoding_model: cl100k_base # automatically set by tiktoken if left undefined
  model_supports_json: true # recommended if this is available for your model.
  concurrent_requests: 25 # max number of simultaneous LLM requests allowed
  async_mode: threaded # or asyncio
  retry_strategy: native
  max_retries: 10



embeddings:
  llm:
    type: azure_openai_embedding
    api_base: ${AZURE_OPENAI_API_BASE}
    api_version: ${AZURE_OPENAI_EMBEDDING_API_VERSION}
    auth_type: api_key # or azure_managed_identity
    api_key: ${AZURE_OPENAI_EMBEDDING_API_KEY}
    # audience: "https://cognitiveservices.azure.com/.default"
    # organization: <organization_id>
    model: ${AZURE_OPENAI_EMBEDDING_MODEL}
    deployment_name: ${AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME}
    # encoding_model: cl100k_base # automatically set by tiktoken if left undefined
    model_supports_json: true # recommended if this is available for your model.
    concurrent_requests: 25 # max number of simultaneous LLM requests allowed
    async_mode: threaded # or asyncio
    retry_strategy: native
    max_retries: 10

### Input settings ###

llm:
  type: azure_openai_chat
  api_base: ${AZURE_OPENAI_API_BASE}
  api_version: ${AZURE_OPENAI_CHAT_API_VERSION}
  auth_type: api_key # or azure_managed_identity
  api_key: ${AZURE_OPENAI_CHAT_API_KEY}
  # audience: "https://cognitiveservices.azure.com/.default"
  # organization: <organization_id>
  model: ${AZURE_OPENAI_CHAT_MODEL}
  deployment_name: ${AZURE_OPENAI_CHAT_DEPLOYMENT_NAME}
  # encoding_model: cl100k_base # automatically set by tiktoken if left undefined
  model_supports_json: true # recommended if this is available for your model.
  concurrent_requests: 25 # max number of simultaneous LLM requests allowed
  async_mode: threaded # or asyncio
  retry_strategy: native
  max_retries: 10



embeddings:
  llm:
    type: azure_openai_embedding
    api_base: ${AZURE_OPENAI_API_BASE}
    api_version: ${AZURE_OPENAI_EMBEDDING_API_VERSION}
    auth_type: api_key # or azure_managed_identity
    api_key: ${AZURE_OPENAI_EMBEDDING_API_KEY}
    # audience: "https://cognitiveservices.azure.com/.default"
    # organization: <organization_id>
    model: ${AZURE_OPENAI_EMBEDDING_MODEL}
    deployment_name: ${AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME}
    # encoding_model: cl100k_base # automatically set by tiktoken if left undefined
    model_supports_json: true # recommended if this is available for your model.
    concurrent_requests: 25 # max number of simultaneous LLM requests allowed
    async_mode: threaded # or asyncio
    retry_strategy: native
    max_retries: 10

### Input settings ###

AZURE_OPENAI_API_BASE="https://xxx.openai.azure.com/"

# Chat Model
AZURE_OPENAI_CHAT_API_VERSION="2024-12-01-preview"
AZURE_OPENAI_CHAT_API_KEY="<your-chat-api-key>"
AZURE_OPENAI_CHAT_MODEL="gpt-4o"
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-4o"

# Embedding Model
AZURE_OPENAI_EMBEDDING_API_VERSION="2024-02-01"
AZURE_OPENAI_EMBEDDING_API_KEY="<your-embedding-api-key>"
AZURE_OPENAI_EMBEDDING_MODEL="text-embedding-3-large"
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME="text-embedding-3-large"

AZURE_OPENAI_API_BASE="https://xxx.openai.azure.com/"

# Chat Model
AZURE_OPENAI_CHAT_API_VERSION="2024-12-01-preview"
AZURE_OPENAI_CHAT_API_KEY="<your-chat-api-key>"
AZURE_OPENAI_CHAT_MODEL="gpt-4o"
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-4o"

# Embedding Model
AZURE_OPENAI_EMBEDDING_API_VERSION="2024-02-01"
AZURE_OPENAI_EMBEDDING_API_KEY="<your-embedding-api-key>"
AZURE_OPENAI_EMBEDDING_MODEL="text-embedding-3-large"
AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME="text-embedding-3-large"

 poetry run poe index --root ./knowledge/01_denodo

 poetry run poe index --root ./knowledge/01_denodo

poetry run poe query --root ./knowledge/01_denodo --method local --query "what data in o_ads?"                                

poetry run poe query --root ./knowledge/01_denodo --method local --query "what data in o_ads?"