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llm-grounding

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RAG service with a policy engine that decides whether to answer, ask a clarifying question, or refuse before generation ever runs. Lexical retrieval, SQLite-backed chunk storage, page-level citations, and a mocked generation layer shaped for a drop-in real LLM call.

  • Updated Jul 5, 2026
  • Python

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