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Your RAG pipeline is hallucinating because simple vector search can't tell the difference between a technical manual and a policy document. Here's what's happening: when documents share broad semantic themes, single-similarity search retrieves irrelevant text or misses the target entirely. The result? Your LLM generates confident-sounding nonsense. The fix isn't better embeddings. It's a deterministic, multi-stage retrieval pipeline that replaces your simple database connection with structural engineering. What you'll learn: • Why naive vector search fails in production • How semantic similarity masks structural differences • The multi-stage pipeline pattern enterprises need • How precision data delivery prevents hallucinations Stop trusting your RAG's retrievals. Start building pipelines that work. #RAG #AI #MachineLearning #LLM #VectorSearch