42 lines
1.5 KiB
Text
42 lines
1.5 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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# 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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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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OPENSEARCH_PASSWORD=
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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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# 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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OPENAI_API_KEY=
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AWS_ACCESS_KEY_ID=
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AWS_SECRET_ACCESS_KEY=
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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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# 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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