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
An SSG benchmark across five React frameworks, from one thousand You're building a marketplace. Or a documentation site. A wiki, Five minutes. Ten. Twenty. Maybe an hour. Maybe a stack trace. You don't know in advance — and the public benchmarks won't tell So I built a benchmark for the gap. Five frameworks in a pnpm workspace, each rendering one dynamic /posts/[id] from a shared deterministic d
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 —