I Stopped Using Embeddings for RAG — And My System Got More Accurate

📰 Medium · RAG

Ditching embeddings for RAG can improve accuracy, learn how to build a vectorless, structure-aware RAG pipeline

advanced Published 16 Apr 2026
Action Steps
  1. Build a vectorless RAG pipeline using a structure-aware approach
  2. Run experiments to compare the performance of traditional embedding-based retrieval and vectorless RAG
  3. Configure your RAG system to utilize the document structure for retrieval
  4. Test the accuracy of your vectorless RAG pipeline on real-world documents
  5. Apply the vectorless RAG pipeline to your NLP tasks and evaluate the results
Who Needs to Know This

NLP engineers and researchers can benefit from this approach to improve the accuracy of their RAG systems, especially when working with real-world documents

Key Insight

💡 Vectorless, structure-aware RAG pipelines can outperform traditional embedding-based retrieval in real-world documents

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🚀 Ditch embeddings for RAG and boost accuracy! Learn how to build a vectorless, structure-aware pipeline
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