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
It was 2:47 AM when the alerts started. A seemingly straightforward database migration had triggered a cascading failure across three downstream services, and our payment processing pipeline was dropping roughly 12% of transactions. The on-call engineer didn't need to wake anyone, locate a rollback script, or wait for a CI pipeline to churn through another deploy. She opened the LaunchDarkly dashb
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 —