Advanced Retrieval Strategies for RAG: From Query Transformation to Multi-Stage Pipelines

Introduction: Retrieval is the foundation of RAG systems. Poor retrieval means irrelevant context, which leads to hallucinations and wrong answers regardless of how capable your LLM is. Yet many RAG implementations use naive approaches—single-stage vector search with default settings. This guide covers advanced retrieval strategies: query transformation techniques, hybrid search combining dense and sparse methods, […]

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