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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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