class RAGSystem:
    def __init__(self, vector_db, llm):
        self.embedder = EmbeddingModel()
        self.retriever = VectorRetriever(vector_db)
        self.generator = ResponseGenerator(llm)

    def process_query(self, query):
        # Single-pass pipeline
        query_embedding = self.embedder.encode(query)
        relevant_docs = self.retriever.search(query_embedding)
        response = self.generator.generate(query, relevant_docs)
        return response

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