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
By Q2 2026, engineering teams building local Retrieval-Augmented Generation (RAG) pipelines will waste $47M annually on managed vector databases they don't need – and Pinecone 2.0's 300% price hike over its 1.0 release is the biggest culprit. VS Code inserting 'Co-Authored-by Copilot' into commits regardless of usage (842 points) A Couple Million Lines of Haskell: Production Engineering at Mer
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 —