Production-style architecture skeleton that demonstrates how an enterprise AI assistant would ingest documents, index knowledge, perform secure RAG search, route requests to LLMs, evaluate responses, track cost, and expose an API/UI for users
semantic cache routing knowledge-base governance teaching-materials cost-optimization llm enterprize
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Updated
Jul 12, 2026 - TypeScript