69dc14f5d6
### What problem does this PR solve? Adds a new Kubernetes Service resource to the Helm chart which specifically targets the RAGFlow API. This feature useful for cases where you want to expose the RAGFlow HTTP API separately from the web interface, for example if RAGFlow is running behind an authenticating proxy it allows a route to bypass the proxy (e.g. by defining a separate ingress resource which forwards to the separate API-only k8s service added here) to provide RAGFlow API access. This is still secure since API access is already authenticated by API keys inside RAGFlow itself. ### Type of change - [X] New Feature (non-breaking change which adds functionality)
160 lines
3.7 KiB
YAML
160 lines
3.7 KiB
YAML
# Based on docker compose .env file
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env:
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# The type of doc engine to use.
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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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# DOC_ENGINE: elasticsearch
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DOC_ENGINE: infinity
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# The version of Elasticsearch.
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STACK_VERSION: "8.11.3"
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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 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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MYSQL_DBNAME: rag_flow
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# The username for MinIO.
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MINIO_ROOT_USER: rag_flow
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# The password for MinIO
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MINIO_PASSWORD: infini_rag_flow_helm
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# The password for Redis
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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 v0.17.0-slim edition, which is the RAGFlow Docker image without embedding models.
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RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.0-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:v0.17.0
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#
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# The Docker image of the v0.17.0 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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# - maidalun1020/bce-embedding-base_v1
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# - maidalun1020/bce-reranker-base_v1
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# - Embedding models that will be downloaded once you select them in the RAGFlow UI:
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# - BAAI/bge-base-en-v1.5
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# - BAAI/bge-large-en-v1.5
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# - BAAI/bge-small-en-v1.5
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# - BAAI/bge-small-zh-v1.5
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# - jinaai/jina-embeddings-v2-base-en
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# - jinaai/jina-embeddings-v2-small-en
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# - nomic-ai/nomic-embed-text-v1.5
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# - sentence-transformers/all-MiniLM-L6-v2
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#
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#
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# The local time zone.
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TIMEZONE: "Asia/Shanghai"
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# Uncomment the following line if you have limited access to huggingface.co:
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# HF_ENDPOINT: https://hf-mirror.com
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# The maximum file size for each uploaded file, in bytes.
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# You can uncomment this line and update the value if you wish to change 128M file size limit
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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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ragflow:
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deployment:
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strategy:
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resources:
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service:
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# Use LoadBalancer to expose the web interface externally
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type: ClusterIP
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api:
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service:
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enabled: true
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type: ClusterIP
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infinity:
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image:
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repository: infiniflow/infinity
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tag: v0.5.0
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storage:
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className:
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capacity: 5Gi
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deployment:
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strategy:
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resources:
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service:
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type: ClusterIP
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elasticsearch:
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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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tag: RELEASE.2023-12-20T01-00-02Z
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storage:
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className:
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capacity: 5Gi
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deployment:
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strategy:
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resources:
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service:
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type: ClusterIP
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mysql:
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image:
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repository: mysql
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tag: 8.0.39
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storage:
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className:
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capacity: 5Gi
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deployment:
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strategy:
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resources:
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service:
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type: ClusterIP
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redis:
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image:
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repository: valkey/valkey
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tag: 8
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storage:
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className:
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capacity: 5Gi
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deployment:
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strategy:
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resources:
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service:
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type: ClusterIP
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# This block is for setting up web service ingress. For more information, see:
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# https://kubernetes.io/docs/concepts/services-networking/ingress/
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ingress:
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enabled: false
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className: ""
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annotations: {}
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# kubernetes.io/ingress.class: nginx
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# kubernetes.io/tls-acme: "true"
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hosts:
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- host: chart-example.local
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paths:
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- path: /
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pathType: ImplementationSpecific
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tls: []
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# - secretName: chart-example-tls
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# hosts:
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# - chart-example.local
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