feat: Concept Generation #84
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concept_generator.pyimplements LLM-based concept generation with two modes:DIRECT: generates a deduped list of “final concepts” from a list of queries.
TWO_STAGE [DEFAULT]: per-query concept generation → SentenceTransformer embeddings + KMeans clustering → LLM centroid generation.
It persists results to a JSON artifact (including intermediate outputs for TWO_STAGE) and includes a minimal QUEST runnable example.