I tried to break the three most popular RAG frameworks. GPT-5.1 didn't save them.
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I pointed a red-teaming tool at the default RAG setup of LangChain, LlamaIndex, and Haystack, the three frameworks most teams reach for when they build retrieval-augmented generation. All three were exploitable to prompt injection out of the box. Then I switched the model underneath from gpt-4o-mini to GPT-5.1, fully expecting the smarter model to clean things up. It did not. The injection numbers barely moved, and a couple of attacks actually got worse. That is the finding worth sitting with:…
1Key Takeaways
- I pointed a red-teaming tool at the default RAG setup of LangChain, LlamaIndex, and Haystack, the three frameworks most teams reach for when they build retrieval-augmented generation.
- All three were exploitable to prompt injection out of the box.
- Then I switched the model underneath from gpt-4o-mini to GPT-5.1, fully expecting the smarter model to clean things up.
- The injection numbers barely moved, and a couple of attacks actually got worse.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that i pointed a red-teaming tool at the default RAG setup of LangChain, LlamaIndex, and Haystack, the three frameworks most teams reach for when they build retrieval-augmented generation.
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