Certification track: AI Tooling
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_GKErequiresElasticsearch_GKEto be deployed first. Theelasticsearch_hostsvariable is mandatory — the plan is rejected if it is empty whendeploy_application = true.
1. Overview
RAGFlow runs as a containerised Python/Nginx web workload. The deployment wires together a focused set of Google Cloud services:
| Capability | Google Cloud service | Notes |
|---|---|---|
| Compute | GKE Autopilot | Custom-built RAGFlow pods, 4 vCPU / 8 GiB by default, horizontally autoscaled |
| Database | Cloud SQL for MySQL 8.0 | Required — RAGFlow does not support PostgreSQL |
| Vector search | Elasticsearch (Elasticsearch_GKE) | External dependency — must be deployed first; elasticsearch_hosts is mandatory |
| Task queue | Redis (Memorystore) | Required for document processing workers |
| Shared files | Filestore (NFS) | Enabled by default for shared document processing storage |
| Object storage | Cloud Storage | A dedicated ragflow-documents bucket |
| Secrets | Secret Manager | Auto-generated database password |
| Ingress | Cloud Load Balancing | External 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
NONEbreaks startup. elasticsearch_hostsis required. RAGFlow cannot index or search documents without a reachable Elasticsearch endpoint. DeployElasticsearch_GKEfirst.- Redis is required for document processing. With
enable_redis = true(the default),REDIS_HOSTandREDIS_PORTare injected automatically. Without Redis, uploaded files remain unprocessed indefinitely. - Scale-to-zero is disabled.
min_instance_countis 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/ragflowusing the Dockerfile inRAGFlow_Common/scripts/, withAPP_VERSIONset fromapplication_version. service_conf.yamlis generated at startup. The custom entrypoint writes/ragflow/conf/service_conf.yamlfrom 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_domaindefaults totrue. This routes the service through the Gateway API load balancer, which — combined with the defaultreserve_static_ip = true— provisions a managed certificate and HTTPS out of the box via a<ip>.nip.iohostname even whenapplication_domainsis left empty. Setapplication_domainsto 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.
C. Elasticsearch — vector search
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.yamlgenerated at startup. The custom entrypoint generates/ragflow/conf/service_conf.yamlfrom 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/healthwith a 120-second initial delay and 60 failure retries to allow ample time. Liveness transitions to/v1/healthonce startup succeeds. - Health endpoints. The readiness and liveness probes use
/v1/healthand/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
| Variable | Default | Description |
|---|---|---|
project_id | (required) | Target Google Cloud project. |
region | us-central1 | Region 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
| Variable | Default | Description |
|---|---|---|
tenant_deployment_id | demo | Short 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
| Variable | Default | Description |
|---|---|---|
application_name | ragflow | Base name for resources. Do not change after first deploy. |
application_display_name | RAGFlow | Friendly name shown in the Console. |
application_description / description | (set) | Workload description annotation. |
application_version | v0.13.0 | RAGFlow image version tag passed as APP_VERSION to Cloud Build; increment to roll out a new version. |
Group 4 — Runtime & Scaling
| Variable | Default | Description |
|---|---|---|
deploy_application | true | Set false to provision infrastructure only. |
cpu_limit | 4000m | CPU per pod; 4 vCPU recommended for document parsing workloads. |
memory_limit | 8Gi | Memory per pod; 8 GiB recommended (embedding models are large). |
min_instance_count | 1 | Minimum replicas. Hard-capped at 1 — scale-to-zero is not supported. |
max_instance_count | 5 | Maximum replicas (autoscaler ceiling). |
container_port | 80 | RAGFlow's Nginx frontend listens on port 80. |
enable_cloudsql_volume | true | Cloud SQL Auth Proxy sidecar for socket connections. |
termination_grace_period_seconds | 60 | Increase for in-flight document processing jobs. |
deployment_timeout | 1800 | Seconds Terraform waits for the rollout — generous to accommodate model loading. |
enable_vertical_pod_autoscaling | false | Let Autopilot tune resource requests automatically. |
Group 5 — Environment Variables & Secrets
| Variable | Default | Description |
|---|---|---|
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
| Variable | Default | Description |
|---|---|---|
service_type | LoadBalancer | How the Service is exposed. |
session_affinity | ClientIP | Sticky routing — required for consistent upload sessions and document processing. |
workload_type | null | Auto-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.
| Variable | Default | Description |
|---|---|---|
stateful_pvc_enabled | null | Provision a PVC for local model storage. Recommended for production. |
stateful_pvc_size | 10Gi | PVC size; provision at least 50 GiB for production document workloads. |
stateful_pvc_mount_path | /data | Container mount path for the PVC. |
stateful_pvc_storage_class | standard-rwo | Kubernetes StorageClass for PVCs. |
stateful_fs_group | 0 | fsGroup GID for PVC ownership; set if the container process requires a specific GID. |
Group 8 — Resource Quota
| Variable | Default | Description |
|---|---|---|
enable_resource_quota | false | Cap 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
| Variable | Default | Description |
|---|---|---|
enable_pod_disruption_budget | true | Protect availability during node upgrades. |
pdb_min_available | 1 | Raise min_instance_count above 1 if you need eviction headroom. |
enable_topology_spread | false | Spread pods across zones. |
Group 10 — Observability & Health
| Variable | Default | Description |
|---|---|---|
startup_probe / startup_probe_config | /v1/health, 120s delay, 60 retries | HTTP probe allowing ample time for embedding model loading. |
liveness_probe / health_check_config | /v1/health | HTTP 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
| Variable | Default | Description |
|---|---|---|
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)
| Variable | Default | Description |
|---|---|---|
enable_nfs | true | Shared Filestore volume for document processing storage (keep enabled for multi-replica). |
nfs_mount_path | /mnt/nfs | Mount path inside the container. |
nfs_instance_name | "" | Name of an existing NFS GCE VM; auto-discovered when empty. |
Group 14 — Cloud Storage & Artifact Registry
| Variable | Default | Description |
|---|---|---|
create_cloud_storage | true | Provision 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_cmek | false | CMEK encryption options. |
max_images_to_retain | 7 | Maximum recent Artifact Registry images to keep. |
Group 15 — Elasticsearch & Redis
| Variable | Default | Description |
|---|---|---|
enable_redis | true | Use 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_port | 6379 | Redis port. |
redis_auth | "" | Optional Redis auth password (sensitive). |
elasticsearch_username | "" | Elasticsearch username. Leave empty when xpack.security.enabled = false. |
enable_inline_elasticsearch | false | Deploy a single-node Elasticsearch sidecar. Development only — data is lost on pod restart. |
elasticsearch_version | 8.13.0 | Elasticsearch image tag for the inline instance. |
Group 16 — Database Backend
| Variable | Default | Description |
|---|---|---|
database_type | MYSQL_8_0 | Fixed — do not change. |
db_name | rag_flow | Database name. Immutable after first deploy. |
db_user | ragflow | Application user. Immutable after first deploy. |
database_password_length | 32 | Generated password length (16–64). |
enable_auto_password_rotation | false | Zero-downtime DB password rotation. |
Group 17 — Backup & Maintenance
| Variable | Default | Description |
|---|---|---|
backup_schedule | 0 2 * * * | Automated backup cron (UTC). |
backup_retention_days | 7 | Retention; raise to 30–90 for production/compliance. |
enable_backup_import / backup_source / backup_uri | restore options | Restore 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
| Variable | Default | Description |
|---|---|---|
enable_custom_domain | true | Provision Ingress for custom hostnames + managed certificate. |
application_domains | [] | Hostnames to serve. |
reserve_static_ip | true | Stable external IP across redeploys. |
network_tags | ["nfsserver"] | GCP network tags applied to pods. |
Group 20 — Identity-Aware Proxy (IAP)
| Variable | Default | Description |
|---|---|---|
enable_iap | false | Require 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
| Variable | Default | Description |
|---|---|---|
enable_cloud_armor | false | Attach a Cloud Armor (WAF) policy to the Ingress backend. |
admin_ip_ranges | [] | CIDRs allowed privileged access. |
cloud_armor_policy_name | default-waf-policy | Policy name. |
Group 22 — VPC Service Controls & Audit Logging
| Variable | Default | Description |
|---|---|---|
enable_vpc_sc | false | Enforce a VPC-SC perimeter (requires organization_id). |
vpc_cidr_ranges / vpc_sc_dry_run | (set) | Access level CIDRs / dry-run mode. |
enable_audit_logging | false | Detailed 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.
| Output | Description |
|---|---|
service_name | Kubernetes Service name. |
namespace | Namespace the workload runs in. |
service_cluster_ip | In-cluster ClusterIP. |
stage_service_cluster_ips | Map of ClusterIPs for stage-specific services (Cloud Deploy). |
service_external_ip | External LoadBalancer IP (when a static IP is reserved). |
service_url | URL to reach RAGFlow. |
database_instance_name | Cloud SQL instance name. |
database_name | Application database name. |
database_user | Application database user. |
database_password_secret | Secret Manager secret holding the DB password. |
database_host / database_port | DB endpoint (127.0.0.1 via the Auth Proxy) / port. |
storage_buckets | Created Cloud Storage buckets. |
network_name / network_exists / regions | VPC network, presence, available regions. |
container_image / container_registry | Deployed image and Artifact Registry repo. |
monitoring_enabled / monitoring_notification_channels | Monitoring status and channels. |
initialization_jobs / db_import_job | Names of the setup and (optional) import jobs. |
deployment_id / tenant_id / resource_prefix | Naming identifiers. |
project_id / project_number | Project identifiers. |
cicd_enabled / cicd_configuration | CI/CD status and details. |
github_repository_url / github_repository_owner / github_repository_name | Connected repository details. |
artifact_registry_repository / cloudbuild_trigger_name / cloudbuild_trigger_id | Registry and build trigger. |
kubernetes_ready | Whether 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_mode | VPC-SC status. |
audit_logging_enabled / artifact_registry_cmek_enabled | Audit 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).
| Setting | Sensible value | Risk | Consequence if wrong |
|---|---|---|---|
elasticsearch_hosts | required — set from Elasticsearch_GKE | Critical | RAGFlow cannot index or search; all ingestion and retrieval operations fail. Plan is rejected when empty and deploy_application = true. |
enable_redis | true | Critical | Without Redis the document processing task queue never runs; uploaded files remain unprocessed indefinitely. |
database_type | MYSQL_8_0 | Critical | RAGFlow requires MySQL; PostgreSQL/NONE breaks startup. |
enable_cloudsql_volume | true | Critical | RAGFlow connects via Unix socket; disabling the proxy sidecar causes a database connection failure on startup. |
db_name / db_user | set once | Critical | Immutable after first deploy; renaming recreates the database/user and destroys data. |
enable_backup_import | false unless restoring | Critical | Enabling without a valid backup_uri fails the import job. |
quota_memory_requests / _limits | binary units | Critical | Bare integers are bytes and block all scheduling. |
redis_host | explicit Memorystore IP or "" (NFS fallback) | High | An unreachable or wrong Redis host silently breaks all async document workers. |
min_instance_count | 1 | High | 0 causes scale-to-zero; cold starts take 2–3 minutes and requests time out. |
memory_limit | 8Gi | High | Embedding models plus the application server typically require 4–8 GiB; too little causes OOM kills during document processing. |
stateful_pvc_enabled | true for production | High | Without a PVC, pod restarts lose all in-progress processing state. |
session_affinity | ClientIP | High | Without stickiness, multi-replica upload sessions may split across pods. |
elasticsearch_username | "" or correct user | High | If Elasticsearch security is enabled, leaving this blank causes HTTP 401 and breaks all indexing. |
enable_nfs | true | High | Multi-replica deployments without shared storage see inconsistent document views across pods. |
enable_iap / enable_cloud_armor | enable for production | Medium | RAGFlow's web UI is otherwise publicly reachable. |
backup_retention_days | 7 (raise for prod) | Medium | Too short for compliance retention. |
pdb_min_available vs min_instance_count | leave headroom | Medium | 1/1 can stall node upgrades (single pod cannot be evicted). |
application_version | v0.13.0 | Medium | Incrementing 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.