Architecting the Next-Gen AI Knowledge Base: A Deep Dive with OpenKB, OpenRouter, and Llama The rapid proliferation of Generative AI has shifted the focus from merely generating text to providing accurate, verifiable, and context-aware answers. A simple LLM prompt is insufficient; enterprise applications require a robust, structured AI Knowledge Base . For senior DevOps, MLOps, and AI Engineers, the challenge is no longer just accessing an LLM API. It is architecting the entire retrieval pipeline—the Retrieval Augmented Generation (RAG) system—to be scalable, secure, and highly performant. This guide provides an exhaustive, hands-on blueprint for building a fully searchable, enterprise-grade AI Knowledge Base . We will leverage the power of OpenKB for structured data management, OpenRouter for flexible model orchestration, and Llama (or similar open-source models) for powerful, customizable reasoning. Phase 1: Deconstructing the Architecture – Why This Stack? Before writing ...