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
Last week I posted that I had no code, just the work that makes the code possible. The PRD, the prompt spec, the architecture doc, the build brief for Kiro. I went into this week thinking I had every decision pre-made. Then I started building. By Block 2, real testing surfaced a phrase the model was using that no court employee would say. "Strip identifiers" sounds reasonable to a developer. To 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 —