84 lines
3.1 KiB
Text
84 lines
3.1 KiB
Text
# Ingestion Configuration
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# Set to true to disable Langflow ingestion and use traditional OpenRAG processor
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# If unset or false, Langflow pipeline will be used (default: upload -> ingest -> delete)
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DISABLE_INGEST_WITH_LANGFLOW=false
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# Langflow HTTP timeout configuration (in seconds)
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# For large documents (300+ pages), ingestion can take 30+ minutes
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# Increase these values if you experience timeouts with very large PDFs
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# Default: 2400 seconds (40 minutes) total timeout, 30 seconds connection timeout
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# LANGFLOW_TIMEOUT=2400
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# LANGFLOW_CONNECT_TIMEOUT=30
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# make one like so https://docs.langflow.org/api-keys-and-authentication#langflow-secret-key
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LANGFLOW_SECRET_KEY=
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# flow ids for chat and ingestion flows
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LANGFLOW_CHAT_FLOW_ID=1098eea1-6649-4e1d-aed1-b77249fb8dd0
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LANGFLOW_INGEST_FLOW_ID=5488df7c-b93f-4f87-a446-b67028bc0813
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LANGFLOW_URL_INGEST_FLOW_ID=72c3d17c-2dac-4a73-b48a-6518473d7830
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# Ingest flow using docling
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# LANGFLOW_INGEST_FLOW_ID=1402618b-e6d1-4ff2-9a11-d6ce71186915
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NUDGES_FLOW_ID=ebc01d31-1976-46ce-a385-b0240327226c
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# Set a strong admin password for OpenSearch; a bcrypt hash is generated at
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# container startup from this value. Do not commit real secrets.
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# must match the hashed password in secureconfig, must change for secure deployment!!!
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# NOTE: if you set this by hand, it must be a complex password:
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# The password must contain at least 8 characters, and must contain at least one uppercase letter, one lowercase letter, one digit, and one special character.
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OPENSEARCH_PASSWORD=
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# Path to persist OpenSearch data (indices, documents, cluster state)
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# Default: ./opensearch-data
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OPENSEARCH_DATA_PATH=./opensearch-data
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# make here https://console.cloud.google.com/apis/credentials
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GOOGLE_OAUTH_CLIENT_ID=
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GOOGLE_OAUTH_CLIENT_SECRET=
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# Azure app registration credentials for SharePoint/OneDrive
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MICROSOFT_GRAPH_OAUTH_CLIENT_ID=
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MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET=
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# AWS Access Key ID and Secret Access Key with access to your S3 instance
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AWS_ACCESS_KEY_ID=
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AWS_SECRET_ACCESS_KEY=
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# OPTIONAL: dns routable from google (etc.) to handle continous ingest (something like ngrok works). This enables continous ingestion
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WEBHOOK_BASE_URL=
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# Model Provider API Keys
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OPENAI_API_KEY=
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ANTHROPIC_API_KEY=
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OLLAMA_ENDPOINT=
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WATSONX_API_KEY=
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WATSONX_ENDPOINT=
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WATSONX_PROJECT_ID=
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# LLM Provider configuration. Providers can be "anthropic", "watsonx", "ibm" or "ollama".
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LLM_PROVIDER=
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LLM_MODEL=
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# Embedding provider configuration. Providers can be "watsonx", "ibm" or "ollama".
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EMBEDDING_PROVIDER=
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EMBEDDING_MODEL=
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# OPTIONAL url for openrag link to langflow in the UI
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LANGFLOW_PUBLIC_URL=
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# OPTIONAL: Override host for docling service (for special networking setups)
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# HOST_DOCKER_INTERNAL=host.containers.internal
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# Langflow auth
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LANGFLOW_AUTO_LOGIN=False
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LANGFLOW_SUPERUSER=
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LANGFLOW_SUPERUSER_PASSWORD=
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LANGFLOW_NEW_USER_IS_ACTIVE=False
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LANGFLOW_ENABLE_SUPERUSER_CLI=False
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# Langfuse tracing (optional)
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# Get keys from https://cloud.langfuse.com or your self-hosted instance
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LANGFUSE_SECRET_KEY=
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LANGFUSE_PUBLIC_KEY=
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# Leave empty for Langfuse Cloud, or set for self-hosted (e.g., http://localhost:3002)
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LANGFUSE_HOST=
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