RAG Optimization Techniques

RAG Retrieval-Augmented Generation optimization improves the quality of retrieved documents, ranking, and integration with LLMs. Techniques reduce hallucination, improve context relevance, and increase answer accuracy by 40%+ vs. raw generation. Key strategies: hybrid search BM25 + semantic, reranking, query expansion, document chunking, and context compression.

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