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Towards Data Science
Towards Data Science
5/30/2026
Embeddings Aren’t Magic: The Predictable Failure Modes of RAG Retrieval

Embeddings Aren’t Magic: The Predictable Failure Modes of RAG Retrieval

Short summary

Embeddings and vector search effectively handle semantic similarity but fail predictably on negation, exact identifiers, and domain-specific acronyms. Understanding these failure modes is critical for building reliable RAG systems. The article examines why these failures occur and what approaches work when vector search proves inadequate.

  • Vector search fails on logical negation, exact ID matching, and specialized terminology
  • Understanding these failure modes prevents unreliable RAG system deployments
  • Alternative retrieval approaches needed for specific enterprise use cases

Generated with AI, which can make mistakes.

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