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
Adding a third person to an encrypted conversation seems like it should be simple. It isn't. The cryptographic properties that make 1:1 messaging secure — forward secrecy, post-compromise security, deniability — become significantly harder to preserve as group size grows. When Signal introduced group chats, they faced a problem that doesn't exist in 1:1 messaging: how do you efficiently encrypt a
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 —