Tag: RAG

July 3, 2026

Why Embeddings Aren’t Magic: The Limits of RAG in Information Retrieval and What We Can Do

Embeddings are fundamental for semantic search in RAG, but they have predictable limits: they do not handle negation, exact identifiers, or acronyms well. For enterprise, a hybrid approach and additional validation are essential for relevant and safe results.
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May 30, 2026

Why Embeddings Aren’t Magic: The Limits of RAG in Enterprise Document Retrieval

Embeddings are excellent for semantic search, but can miss critical details such as negations or exact identifiers in the enterprise environment. This article explains where these limits appear in RAG and offers practical solutions for building more robust document retrieval systems. An essential read for AI/ML professionals seeking maximum business accuracy.
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