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rag-implementation

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Reference RAG implementation tracing every choice to a numbered decision, not an unexamined default. Structure-aware chunking, provider-agnostic embeddings, hybrid dense+BM25 retrieval, negation-aware groundedness checking ported from Sentinel. 27 tests, zero API key required to run them.

  • Updated Sep 2, 2026
  • Python

Successfully developed an LLM application which generates a summary, a list of citations and references and response to a user's query based on the research paper's content.

  • Updated Mar 23, 2025
  • Python

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