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
A website today has two layers that work completely independently of each other. The AI-Ready layer is universal. It makes your site readable for ChatGPT, Perplexity, Claude and Bing Copilot, no matter where the bot comes from. The hosting layer is regional. It decides who gets to touch your data, how fast the site loads for your customers, and which legal jurisdiction your business sits in. We bu
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 —