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
You asked Claude to build a feature. It worked. You shipped it. Six weeks later, you're adding something related, and nothing makes sense anymore. The code is technically correct but completely opaque. You can't remember why anything was structured this way. Claude can't figure it out either — it starts guessing, and the guesses start breaking things. This is the scenario I keep seeing. And it's n
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 —