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and structured reference material — high retrieval accuracy is non-negotiable: a single incorrect code example or outdated API detail can break a user’s workflow. Two popular open-source tools for building RAG pipelines are Haystack 2.0 (from deepset) and RAGatouille 0.3 (from Contextually). This article compares their architectures, accuracy for dev doc use cases, integration ecosystems, and tradeoffs to help technical teams choose the right tool for their needs. Core Architecture Differences Haystack 2.0 is a modular, pipeline-first framework designed for end-to-end RAG workflows.…