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Certification track: AI Tooling

RAGFlow on GKE Autopilot

RAGFlow on GKE Autopilot

RAGFlow is an open-source document intelligence and Retrieval-Augmented Generation (RAG) platform. It ingests PDFs, Word documents, HTML pages, and other formats, chunks and embeds them, stores vectors in Elasticsearch, exposes a REST API for question-answering, and provides a web UI for knowledge base management and enterprise search. This module deploys RAGFlow on GKE Autopilot on top of the App_GKE foundation, which provisions and manages the shared Google Cloud and Kubernetes infrastructure.

This guide focuses on the cloud services RAGFlow uses and how to explore and operate them from the Google Cloud Console and the command line. For the mechanics that are common to every GKE application — Workload Identity, ingress, autoscaling, CI/CD, Cloud Armor, IAP, Binary Authorization, VPC Service Controls, backups, and the deployment lifecycle — refer to the App_GKE foundation guide rather than repeating them here.

Deployment prerequisite: RAGFlow_GKE requires Elasticsearch_GKE to be deployed first. The elasticsearch_hosts variable is mandatory — the plan is rejected if it is empty when deploy_application = true.


1. Overview

RAGFlow runs as a containerised Python/Nginx web workload. The deployment wires together a focused set of Google Cloud services:

CapabilityGoogle Cloud serviceNotes
ComputeGKE AutopilotCustom-built RAGFlow pods, 4 vCPU / 8 GiB by default, horizontally autoscaled
DatabaseCloud SQL for MySQL 8.0Required — RAGFlow does not support PostgreSQL
Vector searchElasticsearch (Elasticsearch_GKE)External dependency — must be deployed first; elasticsearch_hosts is mandatory
Task queueRedis (Memorystore)Required for document processing workers
Shared filesFilestore (NFS)Enabled by default for shared document processing storage
Object storageCloud StorageA dedicated ragflow-documents bucket
SecretsSecret ManagerAuto-generated database password
IngressCloud Load BalancingExternal LoadBalancer service; optional custom domain + managed certificate

Sensible defaults worth knowing up front:

  • MySQL 8.0 is mandatory. The database engine is fixed; selecting PostgreSQL or NONE breaks startup.
  • elasticsearch_hosts is required. RAGFlow cannot index or search documents without a reachable Elasticsearch endpoint. Deploy Elasticsearch_GKE first.
  • Redis is required for document processing. With enable_redis = true (the default), REDIS_HOST and REDIS_PORT are injected automatically. Without Redis, uploaded files remain unprocessed indefinitely.
  • Scale-to-zero is disabled. min_instance_count is hard-capped at 1. RAGFlow loads embedding models at startup (2–3 minutes); scale-to-zero would cause requests to time out.
  • A custom image is always built. Cloud Build extends infiniflow/ragflow using the Dockerfile in RAGFlow_Common/scripts/, with APP_VERSION set from application_version.
  • service_conf.yaml is generated at startup. The custom entrypoint writes /ragflow/conf/service_conf.yaml from injected environment variables before starting the RAGFlow processes.
  • Session affinity is ClientIP. This ensures upload sessions and multi-step document processing requests consistently reach the same pod.
  • enable_custom_domain defaults to true. This routes the service through the Gateway API load balancer, which — combined with the default reserve_static_ip = true — provisions a managed certificate and HTTPS out of the box via a <ip>.nip.io hostname even when application_domains is left empty. Set application_domains to serve a real hostname instead.
  • The database password is generated automatically and stored in Secret Manager.

2. Google Cloud Services & How to Explore Them

All commands assume you have run gcloud container clusters get-credentials <cluster> --region <region> --project <project> and that PROJECT, REGION, and NAMESPACE are set. The namespace and other identifiers are reported in the deployment Outputs.

A. GKE Autopilot — the RAGFlow workload

RAGFlow pods are scheduled on Autopilot, which bills for the CPU/memory the pods actually request. Horizontal Pod Autoscaling sizes the deployment between the minimum and maximum replica counts.

  • Console: Kubernetes Engine → Workloads → select the RAGFlow workload to see pods, revisions, and events. Kubernetes Engine → Services & Ingress shows the external IP.
  • CLI:
    kubectl get pods,svc,hpa -n "$NAMESPACE"
    kubectl logs -n "$NAMESPACE" deploy/<service-name> --tail=100
    kubectl describe hpa -n "$NAMESPACE" # current vs target utilisation

See App_GKE for how Autopilot, scaling, and the workload type (Deployment vs StatefulSet) are managed.

B. Cloud SQL for MySQL 8.0

RAGFlow stores all application metadata (user accounts, knowledge bases, task state) in a managed Cloud SQL for MySQL 8.0 instance. Pods reach it privately through the Cloud SQL Auth Proxy sidecar over a Unix socket, so no public IP is exposed. On first deploy an initialization Job creates the application database and user.

  • Console: SQL → select the instance for connections, backups, flags, and metrics.
  • CLI:
    gcloud sql instances list --project "$PROJECT"
    gcloud sql instances describe <instance-name> --project "$PROJECT"
    # Open an interactive shell to inspect schema/data:
    gcloud sql connect <instance-name> --user=<db-user> --project "$PROJECT"

The instance name, database name, user, and the Secret Manager secret holding the password are all surfaced in the Outputs. For the connection model, automated backups, and password rotation, see App_GKE.

RAGFlow requires an external Elasticsearch instance for document indexing and vector search. It is not bundled in this module — deploy Elasticsearch_GKE separately and pass its elasticsearch_endpoint output as elasticsearch_hosts. The environment variables ELASTICSEARCH_HOSTS and ELASTICSEARCH_USERNAME are injected automatically.

  • Console: Kubernetes Engine → Workloads → Elasticsearch namespace.
  • CLI:
    # Confirm RAGFlow can reach Elasticsearch:
    kubectl exec -n "$NAMESPACE" deploy/<service-name> -- \
    curl -s "$ELASTICSEARCH_HOSTS/_cluster/health" | grep status
    # Check connectivity from within the cluster:
    kubectl run -it --rm curl --image=curlimages/curl --restart=Never -- \
    curl -s "http://<elasticsearch-ip>:9200/_cluster/health"

D. Redis — task queue

Redis is the backbone of RAGFlow's document processing pipeline. Workers poll Redis for tasks; without it, uploaded files are never parsed, chunked, or embedded.

  • Console: Memorystore → Redis (if using a managed instance).
  • CLI:
    redis-cli -h <redis-host> ping        # from a host with network access
    redis-cli -h <redis-host> info keyspace

E. Filestore (NFS) and Cloud Storage

By default, RAGFlow mounts a Filestore (NFS) share into every pod for shared document processing storage. A dedicated Cloud Storage bucket (ragflow-documents) is also provisioned for document ingestion; the workload service account is granted access automatically. Additional GCS Fuse volumes can be mounted via gcs_volumes.

  • Console: Filestore → Instances; Cloud Storage → Buckets.
  • CLI:
    gcloud filestore instances list --project "$PROJECT"
    gcloud storage buckets list --project "$PROJECT"
    gcloud storage ls gs://<documents-bucket>/ # bucket name is in the Outputs
    # Confirm the NFS share is mounted inside a pod:
    kubectl exec -n "$NAMESPACE" deploy/<service-name> -- df -h | grep -i nfs

See App_GKE for NFS provisioning, GCS Fuse, and CMEK options.

F. Secret Manager

The database password is stored as a Secret Manager secret and injected into pods at runtime; plaintext never appears in configuration.

  • Console: Security → Secret Manager.
  • CLI:
    gcloud secrets list --project "$PROJECT"
    gcloud secrets versions access latest --secret=<secret-name> --project "$PROJECT"

The database password secret name is in the Outputs. See App_GKE for the Secret Store CSI integration and rotation.

G. Networking & ingress

enable_custom_domain defaults to true, which routes the workload through the Gateway API load balancer with a Google-managed certificate — automatically serving HTTPS on a <ip>.nip.io hostname when application_domains is empty. Set application_domains to serve a real custom hostname instead. A static IP is reserved by default so the address survives redeploys.

  • Console: Network services → Load balancing; VPC network → IP addresses.
  • CLI:
    kubectl get ingress,svc -n "$NAMESPACE"
    gcloud compute addresses list --project "$PROJECT"

See App_GKE for custom domains, Cloud CDN, and static IP details.

H. Cloud Logging & Monitoring

Pod stdout/stderr flow to Cloud Logging; GKE and Cloud SQL metrics flow to Cloud Monitoring. Optional uptime checks and alert policies are available.

  • Console: Logging → Logs Explorer; Monitoring → Dashboards / Alerting.
  • CLI:
    gcloud logging read 'resource.type="k8s_container" AND resource.labels.namespace_name="'"$NAMESPACE"'"' \
    --project "$PROJECT" --limit 50

3. RAGFlow Application Behaviour

  • First-deploy database setup. An initialization Job (mysql:8.0-debian) creates the RAGFlow database (rag_flow) and user (ragflow) and grants privileges before the application starts. It is idempotent and safe to re-run.
  • service_conf.yaml generated at startup. The custom entrypoint generates /ragflow/conf/service_conf.yaml from injected environment variables — including MySQL host/user/database, Elasticsearch endpoint, Redis host/port, and optional credentials — before starting the RAGFlow processes (Nginx, RAGFlow server, task workers).
  • Document processing pipeline. Uploaded documents are queued in Redis and processed asynchronously by RAGFlow's document workers: OCR, chunking, embedding, and indexing into Elasticsearch. Without a reachable Redis and Elasticsearch, files appear uploaded but are never processed.
  • Embedding model loading on startup. RAGFlow downloads and loads embedding models during first boot. The startup probe targets /v1/health with a 120-second initial delay and 60 failure retries to allow ample time. Liveness transitions to /v1/health once startup succeeds.
  • Health endpoints. The readiness and liveness probes use /v1/health and /v1/system/version. These return HTTP 200 only when the application is fully initialised and all services are reachable.
  • Session affinity. session_affinity = "ClientIP" routes requests from a browser to the same pod, ensuring upload sessions and in-progress document workflows remain consistent.

4. Configuration Variables

Variables are grouped exactly as they appear on the deployment platform. Only settings specific to or notable for RAGFlow are listed; every other input is inherited from App_GKE with its standard behaviour and defaults.

Group 1 — Project & Identity

VariableDefaultDescription
project_id(required)Target Google Cloud project.
regionus-central1Region for the workload and regional resources.
elasticsearch_hosts(required)Elasticsearch HTTP endpoint (e.g. http://10.0.0.5:9200). Set to the elasticsearch_endpoint output from Elasticsearch_GKE.

Group 2 — Deployment Environment

VariableDefaultDescription
tenant_deployment_iddemoShort suffix that makes resource names unique per environment.
support_users[]Emails granted project access and monitoring alerts.
resource_labels{}Labels applied to all resources for cost/ownership tracking.

Group 3 — Application Identity

VariableDefaultDescription
application_nameragflowBase name for resources. Do not change after first deploy.
application_display_nameRAGFlowFriendly name shown in the Console.
application_description / description(set)Workload description annotation.
application_versionv0.13.0RAGFlow image version tag passed as APP_VERSION to Cloud Build; increment to roll out a new version.

Group 4 — Runtime & Scaling

VariableDefaultDescription
deploy_applicationtrueSet false to provision infrastructure only.
cpu_limit4000mCPU per pod; 4 vCPU recommended for document parsing workloads.
memory_limit8GiMemory per pod; 8 GiB recommended (embedding models are large).
min_instance_count1Minimum replicas. Hard-capped at 1 — scale-to-zero is not supported.
max_instance_count5Maximum replicas (autoscaler ceiling).
container_port80RAGFlow's Nginx frontend listens on port 80.
enable_cloudsql_volumetrueCloud SQL Auth Proxy sidecar for socket connections.
termination_grace_period_seconds60Increase for in-flight document processing jobs.
deployment_timeout1800Seconds Terraform waits for the rollout — generous to accommodate model loading.
enable_vertical_pod_autoscalingfalseLet Autopilot tune resource requests automatically.

Group 5 — Environment Variables & Secrets

VariableDefaultDescription
environment_variables{}Extra non-secret settings. Do not override MYSQL_*, ELASTICSEARCH_*, or REDIS_* — these are injected automatically.
secret_environment_variables{}Map of env var → Secret Manager secret name.

Group 6 — GKE Backend & Cluster

VariableDefaultDescription
service_typeLoadBalancerHow the Service is exposed.
session_affinityClientIPSticky routing — required for consistent upload sessions and document processing.
workload_typenullAuto-resolves to StatefulSet when per-pod storage is enabled.
network_tags["nfsserver"]Node/pod tags; nfsserver is required for NFS connectivity.

Group 7 — StatefulSet Configuration

These settings apply only when workload_type = "StatefulSet" or stateful_pvc_enabled = true.

VariableDefaultDescription
stateful_pvc_enablednullProvision a PVC for local model storage. Recommended for production.
stateful_pvc_size10GiPVC size; provision at least 50 GiB for production document workloads.
stateful_pvc_mount_path/dataContainer mount path for the PVC.
stateful_pvc_storage_classstandard-rwoKubernetes StorageClass for PVCs.
stateful_fs_group0fsGroup GID for PVC ownership; set if the container process requires a specific GID.

Group 8 — Resource Quota

VariableDefaultDescription
enable_resource_quotafalseCap namespace CPU/memory/object counts.
quota_memory_requests / quota_memory_limits""Must use binary units (8Gi, 16384Mi) — bare integers are read as bytes and block scheduling.

Group 9 — Reliability Policies

VariableDefaultDescription
enable_pod_disruption_budgettrueProtect availability during node upgrades.
pdb_min_available1Raise min_instance_count above 1 if you need eviction headroom.
enable_topology_spreadfalseSpread pods across zones.

Group 10 — Observability & Health

VariableDefaultDescription
startup_probe / startup_probe_config/v1/health, 120s delay, 60 retriesHTTP probe allowing ample time for embedding model loading.
liveness_probe / health_check_config/v1/healthHTTP liveness probe once startup succeeds.
uptime_check_config{ enabled=false, path="/v1/health" }Optional Cloud Monitoring uptime check; disabled by default.
alert_policies[]Optional metric alert policies.

Group 11 — Jobs & Scheduled Tasks

VariableDefaultDescription
initialization_jobs[]Leave empty to use the built-in db-init job.
cron_jobs[]Recurring scheduled tasks deployed as Kubernetes CronJobs.
additional_services[]Additional companion Kubernetes Deployments (e.g. inline Elasticsearch for dev).

Group 12 — CI/CD & GitHub Integration

Standard App_GKE Cloud Build / Cloud Deploy integration — see App_GKE. Key inputs: enable_cicd_trigger, github_repository_url, github_token, enable_cloud_deploy.

Group 13 — Filesystem (NFS)

VariableDefaultDescription
enable_nfstrueShared Filestore volume for document processing storage (keep enabled for multi-replica).
nfs_mount_path/mnt/nfsMount path inside the container.
nfs_instance_name""Name of an existing NFS GCE VM; auto-discovered when empty.

Group 14 — Cloud Storage & Artifact Registry

VariableDefaultDescription
create_cloud_storagetrueProvision the GCS document bucket.
storage_buckets[{ name_suffix="data" }]Additional GCS buckets beyond ragflow-documents.
gcs_volumes[]GCS Fuse volumes mounted into the RAGFlow container.
manage_storage_kms_iam / enable_artifact_registry_cmekfalseCMEK encryption options.
max_images_to_retain7Maximum recent Artifact Registry images to keep.

Group 15 — Elasticsearch & Redis

VariableDefaultDescription
enable_redistrueUse Redis for the document processing task queue.
redis_host""Redis host. When empty and NFS is enabled, the NFS server IP is used. Set explicitly for Memorystore.
redis_port6379Redis port.
redis_auth""Optional Redis auth password (sensitive).
elasticsearch_username""Elasticsearch username. Leave empty when xpack.security.enabled = false.
enable_inline_elasticsearchfalseDeploy a single-node Elasticsearch sidecar. Development only — data is lost on pod restart.
elasticsearch_version8.13.0Elasticsearch image tag for the inline instance.

Group 16 — Database Backend

VariableDefaultDescription
database_typeMYSQL_8_0Fixed — do not change.
db_namerag_flowDatabase name. Immutable after first deploy.
db_userragflowApplication user. Immutable after first deploy.
database_password_length32Generated password length (16–64).
enable_auto_password_rotationfalseZero-downtime DB password rotation.

Group 17 — Backup & Maintenance

VariableDefaultDescription
backup_schedule0 2 * * *Automated backup cron (UTC).
backup_retention_days7Retention; raise to 30–90 for production/compliance.
enable_backup_import / backup_source / backup_urirestore optionsRestore from a backup on deploy.

Group 18 — Custom SQL Scripts

enable_custom_sql_scripts, custom_sql_scripts_bucket, custom_sql_scripts_path, custom_sql_scripts_use_root — run SQL from a GCS bucket after provisioning. See App_GKE.

Group 19 — Custom Domain, Static IP & Networking

VariableDefaultDescription
enable_custom_domaintrueProvision Ingress for custom hostnames + managed certificate.
application_domains[]Hostnames to serve.
reserve_static_iptrueStable external IP across redeploys.
network_tags["nfsserver"]GCP network tags applied to pods.

Group 20 — Identity-Aware Proxy (IAP)

VariableDefaultDescription
enable_iapfalseRequire Google sign-in in front of RAGFlow.
iap_authorized_users / iap_authorized_groups[]Who may access.
iap_oauth_client_id / iap_oauth_client_secret""Required when IAP is enabled (sensitive).
iap_support_email""Shown on the OAuth consent screen.

Group 21 — Cloud Armor

VariableDefaultDescription
enable_cloud_armorfalseAttach a Cloud Armor (WAF) policy to the Ingress backend.
admin_ip_ranges[]CIDRs allowed privileged access.
cloud_armor_policy_namedefault-waf-policyPolicy name.

Group 22 — VPC Service Controls & Audit Logging

VariableDefaultDescription
enable_vpc_scfalseEnforce a VPC-SC perimeter (requires organization_id).
vpc_cidr_ranges / vpc_sc_dry_run(set)Access level CIDRs / dry-run mode.
enable_audit_loggingfalseDetailed Cloud Audit Logs.

5. Outputs

These values are returned on a successful deployment and are the quickest way to locate and explore the running resources.

OutputDescription
service_nameKubernetes Service name.
namespaceNamespace the workload runs in.
service_cluster_ipIn-cluster ClusterIP.
stage_service_cluster_ipsMap of ClusterIPs for stage-specific services (Cloud Deploy).
service_external_ipExternal LoadBalancer IP (when a static IP is reserved).
service_urlURL to reach RAGFlow.
database_instance_nameCloud SQL instance name.
database_nameApplication database name.
database_userApplication database user.
database_password_secretSecret Manager secret holding the DB password.
database_host / database_portDB endpoint (127.0.0.1 via the Auth Proxy) / port.
storage_bucketsCreated Cloud Storage buckets.
network_name / network_exists / regionsVPC network, presence, available regions.
container_image / container_registryDeployed image and Artifact Registry repo.
monitoring_enabled / monitoring_notification_channelsMonitoring status and channels.
initialization_jobs / db_import_jobNames of the setup and (optional) import jobs.
deployment_id / tenant_id / resource_prefixNaming identifiers.
project_id / project_numberProject identifiers.
cicd_enabled / cicd_configurationCI/CD status and details.
github_repository_url / github_repository_owner / github_repository_nameConnected repository details.
artifact_registry_repository / cloudbuild_trigger_name / cloudbuild_trigger_idRegistry and build trigger.
kubernetes_readyWhether the cluster/workload is ready. false on first apply of a new inline cluster — the CI/CD pipeline must re-run apply to complete deployment.
vpc_sc_enabled / vpc_sc_perimeter_name / vpc_sc_dry_run_modeVPC-SC status.
audit_logging_enabled / artifact_registry_cmek_enabledAudit logging and CMEK status.

6. Configuration Pitfalls & Sensible Defaults

Risk: Critical (data loss / outage / security) — High (service degraded) — Medium (cost or partial degradation) — Low (minor).

SettingSensible valueRiskConsequence if wrong
elasticsearch_hostsrequired — set from Elasticsearch_GKECriticalRAGFlow cannot index or search; all ingestion and retrieval operations fail. Plan is rejected when empty and deploy_application = true.
enable_redistrueCriticalWithout Redis the document processing task queue never runs; uploaded files remain unprocessed indefinitely.
database_typeMYSQL_8_0CriticalRAGFlow requires MySQL; PostgreSQL/NONE breaks startup.
enable_cloudsql_volumetrueCriticalRAGFlow connects via Unix socket; disabling the proxy sidecar causes a database connection failure on startup.
db_name / db_userset onceCriticalImmutable after first deploy; renaming recreates the database/user and destroys data.
enable_backup_importfalse unless restoringCriticalEnabling without a valid backup_uri fails the import job.
quota_memory_requests / _limitsbinary unitsCriticalBare integers are bytes and block all scheduling.
redis_hostexplicit Memorystore IP or "" (NFS fallback)HighAn unreachable or wrong Redis host silently breaks all async document workers.
min_instance_count1High0 causes scale-to-zero; cold starts take 2–3 minutes and requests time out.
memory_limit8GiHighEmbedding models plus the application server typically require 4–8 GiB; too little causes OOM kills during document processing.
stateful_pvc_enabledtrue for productionHighWithout a PVC, pod restarts lose all in-progress processing state.
session_affinityClientIPHighWithout stickiness, multi-replica upload sessions may split across pods.
elasticsearch_username"" or correct userHighIf Elasticsearch security is enabled, leaving this blank causes HTTP 401 and breaks all indexing.
enable_nfstrueHighMulti-replica deployments without shared storage see inconsistent document views across pods.
enable_iap / enable_cloud_armorenable for productionMediumRAGFlow's web UI is otherwise publicly reachable.
backup_retention_days7 (raise for prod)MediumToo short for compliance retention.
pdb_min_available vs min_instance_countleave headroomMedium1/1 can stall node upgrades (single pod cannot be evicted).
application_versionv0.13.0MediumIncrementing triggers an image rebuild and rolling restart; verify MySQL schema compatibility for major version jumps.

For the foundation behaviour referenced throughout — IAM and Workload Identity, autoscaling, ingress and certificates, CI/CD, Cloud Armor, IAP, Binary Authorization, VPC-SC, backups, and image mirroring — see App_GKE. RAGFlow-specific application configuration shared with the Cloud Run variant is described in RAGFlow_Common.