Update ragflow
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+62
-14
@@ -4,8 +4,10 @@ env:
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# Available options:
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# - `elasticsearch` (default)
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# - `infinity` (https://github.com/infiniflow/infinity)
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# - `opensearch` (https://github.com/opensearch-project/OpenSearch)
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# DOC_ENGINE: elasticsearch
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DOC_ENGINE: infinity
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# DOC_ENGINE: opensearch
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# The version of Elasticsearch.
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STACK_VERSION: "8.11.3"
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@@ -13,6 +15,10 @@ env:
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# The password for Elasticsearch
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ELASTIC_PASSWORD: infini_rag_flow_helm
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# The password for OpenSearch.
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# At least one uppercase letter, one lowercase letter, one digit, and one special character
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OPENSEARCH_PASSWORD: infini_rag_flow_OS_01
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# The password for MySQL
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MYSQL_PASSWORD: infini_rag_flow_helm
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# The database of the MySQL service to use
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@@ -27,13 +33,13 @@ env:
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REDIS_PASSWORD: infini_rag_flow_helm
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# The RAGFlow Docker image to download.
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# Defaults to the v0.19.0-slim edition, which is the RAGFlow Docker image without embedding models.
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RAGFLOW_IMAGE: infiniflow/ragflow:v0.19.0-slim
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# Defaults to the v0.20.1-slim edition, which is the RAGFlow Docker image without embedding models.
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RAGFLOW_IMAGE: infiniflow/ragflow:v0.20.1-slim
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#
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# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
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# RAGFLOW_IMAGE: infiniflow/ragflow:v0.19.0
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# RAGFLOW_IMAGE: infiniflow/ragflow:v0.20.1
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#
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# The Docker image of the v0.19.0 edition includes:
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# The Docker image of the v0.20.1 edition includes:
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# - Built-in embedding models:
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# - BAAI/bge-large-zh-v1.5
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# - BAAI/bge-reranker-v2-m3
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@@ -62,7 +68,37 @@ env:
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# MAX_CONTENT_LENGTH: "134217728"
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# After making the change, ensure you update `client_max_body_size` in nginx/nginx.conf correspondingly.
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# The number of document chunks processed in a single batch during document parsing.
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DOC_BULK_SIZE: 4
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# The number of text chunks processed in a single batch during embedding vectorization.
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EMBEDDING_BATCH_SIZE: 16
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ragflow:
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# Optional service configuration overrides
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# to be written to local.service_conf.yaml
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# inside the RAGFlow container
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# https://ragflow.io/docs/dev/configurations#service-configuration
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service_conf:
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# Optional yaml formatted override for the
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# llm_factories.json file inside the RAGFlow
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# container.
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llm_factories:
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# factory_llm_infos:
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# - name: OpenAI-API-Compatible
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# logo: ""
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# tags: "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION"
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# status: "1"
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# llm:
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# - llm_name: my-custom-llm
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# tags: "LLM,CHAT,"
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# max_tokens: 100000
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# model_type: chat
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# is_tools: false
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# Kubernetes configuration
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deployment:
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strategy:
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resources:
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@@ -77,7 +113,7 @@ ragflow:
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infinity:
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image:
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repository: infiniflow/infinity
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tag: v0.6.0-dev3
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tag: v0.6.0-dev5
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storage:
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className:
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capacity: 5Gi
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@@ -100,6 +136,22 @@ elasticsearch:
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service:
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type: ClusterIP
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opensearch:
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image:
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repository: opensearchproject/opensearch
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tag: 2.19.1
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storage:
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className:
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capacity: 20Gi
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deployment:
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strategy:
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resources:
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requests:
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cpu: "4"
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memory: "16Gi"
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service:
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type: ClusterIP
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minio:
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image:
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repository: quay.io/minio/minio
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@@ -135,6 +187,11 @@ redis:
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capacity: 5Gi
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persistence:
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enabled: true
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# Set's the retention policy for the persistent storage (only available in k8s 1.32 or later)
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# https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#persistentvolumeclaim-retention
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# retentionPolicy:
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# whenDeleted: Delete
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# whenScaled: Delete
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deployment:
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strategy:
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resources:
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@@ -159,12 +216,3 @@ ingress:
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# - secretName: chart-example-tls
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# hosts:
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# - chart-example.local
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oidc:
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enable: false
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display_name: "OAuth2"
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client_id: "your_client_id"
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client_secret: "your_client_secret"
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authorization_url: "https://your-oauth-provider.com/oauth/authorize"
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token_url: "https://your-oauth-provider.com/oauth/token"
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userinfo_url: "https://your-oauth-provider.com/oauth/userinfo"
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redirect_uri: "https://your-app.com/v1/user/oauth/callback/oauth2"
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