Building Secure RAG Pipelines: A Practical Guide

Retrieval-Augmented Generation (RAG) pipelines combine the power of LLMs with external knowledge bases. However, each component introduces unique security challenges that must be addressed.

Security Risks in RAG

• Document poisoning in the knowledge base
• Indirect prompt injection via retrieved context
• Data leakage through embedding similarity
• Access control bypass in multi-tenant systems

Securing the Pipeline

Implement input validation at every stage: user query → retrieval → context assembly → LLM generation → output filtering.