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
Everyone told me I needed Python for AI. I didn't listen. Here's what happened. Let me be real with you. Every time I say "I'm building an AI agent," people assume I'm wrist-deep in Python virtual environments, pip dependencies, and a LangChain tutorial from 2023. And when I say "in Java?" — I get the look. You know the one. So I built it anyway. A fully functional AI agent. With tool use. With R
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 —