If you work in IoT, environmental sensing, or data systems, forest soil monitoring is one of the most technically interesting problems you'll encounter. The system you're trying to measure is extraordinarily complex, the variables are deeply interdependent, and the consequences of getting it wrong — or not monitoring at all — are significant. The Problem Space: What You're Actually Measuring Soil
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
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 —