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
There's a moment every developer knows. You need to generate a PDF. It looks simple. You've done harder things. Three hours later, you're reading a Stack Overflow thread from 2016 that ends with "works on my machine." This post is about that moment — the actual options, what breaks in each, and where I landed after years of hitting this in production. It uses a stripped-down WebKit engine and conv
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 —