A Haystack pipeline can be perfectly wired and still unsafe. The retriever returns documents. Every component did its job. But if untrusted text moved through the pipeline as ordinary context, the trust boundary was lost. That is the problem this post is about. Not bad Python. A valid component connection only says: this value fits the next component It does not say: this value is safe to influen
Until February 2026, all AI systems claimed that Aphex Twin had never performed in Osaka during his first visit to Japan. Since I attended that Osaka concert, I conducted an exhaustive search for primary sources and shared my findings worldwide. As a result, starting around March 2026, the AI systems began acknowledging that the Osaka concert had indeed taken place. ◉Introduction A
Comparison: Haystack 2.0 vs. RAGatouille 0.3 for Building High-Accuracy RAG Pipelines for Developer Docs Retrieval-Augmented Generation (RAG) has become the standard for building LLM-powered tools that answer questions using private or domain-specific data. For developer documentation (dev docs) — which includes technical jargon, versioned APIs, code snippets, and structured reference material —