A platform team uses IDaaS-based keyless Terraform (Skill 4) to provision a hardened, MLPS-compliant production infrastructure stack (VPC, RDS, Elasticsearch, SSL via CAS), then deploys a RAG-enhanced Notion AI agent (Skill 3) on top — where the Bailian-hosted agent combines Notion MCP document tools with the Terraform-provisioned RAG pipeline (RDS + Elasticsearch) for knowledge retrieval, all fronted by a Vercel-deployed web UI and secured end-to-end with IDaaS OIDC/M2M authentication.
A platform team uses IDaaS-based keyless Terraform (Skill 4) to provision a hardened, MLPS-compliant production infrastructure stack (VPC, RDS, Elasticsearch, SSL via CAS), then deploys a RAG-enhanced Notion AI agent (Skill 3) on top — where the Bailian-hosted agent combines Notion MCP document tools with the Terraform-provisioned RAG pipeline (RDS + Elasticsearch) for knowledge retrieval, all fronted by a Vercel-deployed web UI and secured end-to-end with IDaaS OIDC/M2M authentication.
See _combos/secure-notion-ai-agent-deployed-on-vercel-8866d3.
See _combos/full-stack-notion-ai-agent-with-deployed-fronten-33dde2.
See _combos/rag-enhanced-notion-ai-agent-on-vercel-a23a04.
See _combos/end-to-end-keyless-terraform-compliant-search-pl-232129.
Q: How do I provision compliant infrastructure and deploy the RAG Notion AI agent end-to-end? A: You can provision compliant infrastructure and deploy the RAG Notion AI agent end-to-end using Terraform. The solution operates as a cross-product combination that spans multiple integrated cloud services including OSS, RDS, ECS, OpenSearch, and Supabase.