Summary

In this chapter, we explored the critical aspect of security in RAG applications. We began by discussing how RAG can be leveraged as a security solution, enabling organizations to limit data access, ensure more reliable responses, and provide greater transparency of sources. However, we also acknowledged the challenges posed by the black box nature of LLMs and the importance of protecting user data and privacy.

We introduced the concept of red teaming a security testing methodology that involves simulating adversarial attacks to proactively identify and mitigate vulnerabilities in RAG applications. We explored common areas targeted by red teams, such as bias and stereotypes, sensitive information disclosure, service disruption, and hallucinations.

Through a hands-on code lab, we demonstrated how to implement security best practices in RAG pipelines, including techniques for securely storing API keys and defending against prompt injection attacks. We engaged in an exciting...