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
Manifest V3 Is Here — And It Broke Everything Google's Manifest V3 migration deadline has come and gone. After migrating 17 Chrome extensions from MV2 to MV3, I've compiled every pitfall, workaround, and lesson learned. If you're still migrating — or building new extensions — this guide will save you weeks of debugging. The problem: MV3 replaces persistent background pages with service workers.
المشكلة لو بتكتب عربي وإنجليزي مع بعض في أي موقع، البراوزر بيتلخبط في الاتجاه: جملة زي "مرحبا API بتاعك كويس" — كلمة API بتتعكس وتتقرأ غلط بسبب الـ Unicode Bidi Algorithm. المشكلة دي مش في موقع معين — هي موجودة في كل المواقع. حتى Claude.ai وChatGPT نفسهم بيعانوا منها. بدل ما نضبط dir="rtl" على الـ element بس، عملت BiDi parser حقيقي يقسّم النص: "مرحبا API tools بتاعك" ↓ tokenizer [arabic]
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 —