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
I am a first-year CS student and I recently made a decision that most people around me think is unnecessary — I am building a relational database storage engine from scratch in raw C++, with zero STL dependency. No std::vector. No std::string. No iostream. Nothing. The Problem With How I Was Learning For a long time I was writing code that worked but I had no idea why it worked. I used abstraction
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 —