Keyless RAG App with Search and AI Inference

Scenario

A developer builds a RAG (Retrieval-Augmented Generation) application on ECS/ACK where RDS stores source documents, Elasticsearch powers semantic retrieval, and PAI/Bailian Model Studio performs generative inference—all secured end-to-end with IDaaS OIDC keyless M2M authentication, eliminating hardcoded AK/SK across the entire data-to-inference pipeline.

How the products combine

1. idaas · keyless-m2m-auth-for-pai-models-de23a0 — Keyless M2M Auth for PAI Models

See _combos/keyless-m2m-auth-for-pai-models-de23a0.

2. idaas · idaas-secure-access — IDaaS — Set up secure machine-to-machine (M2M) access

See idaas/idaas-secure-access.

3. bailian · keyless-m2m-access-to-bailian-model-apis-283f9c — Keyless M2M Access to Bailian Model APIs

See _combos/keyless-m2m-access-to-bailian-model-apis-283f9c.

4. dataworks · secure-search-app-with-keyless-m2m-auth-da68ec — Secure Search App with Keyless M2M Auth

See _combos/secure-search-app-with-keyless-m2m-auth-da68ec.

Typical questions

• RAG app with keyless auth
• secure AI search pipeline without AK
• OIDC auth for RDS ES and model inference
• keyless retrieval augmented generation
• ECS app calling RDS Elasticsearch and PAI securely
• end-to-end M2M auth for AI application
• 无AK的RAG智能搜索应用
• OIDC安全访问数据库搜索和大模型推理

Q: How can I build a secure RAG application that uses keyless authentication to connect ECS, RDS, Elasticsearch, and AI inference services without hardcoded access keys? A: You can build a secure RAG application on ECS or ACK by using IDaaS OIDC keyless M2M authentication to connect RDS, Elasticsearch, and PAI or Bailian Model Studio without hardcoded access keys. This end-to-end architecture stores source documents in RDS, powers semantic retrieval with Elasticsearch, and performs generative inference while completely eliminating hardcoded AK/SK credentials across the pipeline.