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
A correct JWT verifier does eight things. Most production verifiers I have read do four or five of them. The other three or four get skipped because the library defaults aren't loud about them, the docs gloss over them, or someone copied a "it works" snippet from Stack Overflow circa 2018. Here is the full eight-check list, what each one prevents, and what it looks like to implement them with stru
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 —