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A custom RAG pipeline using ChromaDB processes regulatory documents via semantic search, outperforming keyword matching. Cosine Similarity ranks text by vector direction, with +1 meaning identical and 0 unrelated. RAG grounds LLM answers in private data, preventing hallucinations and keeping proprietary information secure.
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