Revolutionize Mistral 2 vs RAG Comparisons: What Fails and How to Fix It Comparing Mistral 2, the widely adopted open-source large language model, to Retrieval-Augmented Generation (RAG) frameworks has become a common but deeply flawed practice in AI evaluation circles. This mismatch stems from a fundamental misunderstanding of what each tool is, how they interact, and what metrics actually matt
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
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 —