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Outcome School · Retrieval and RAG19 min read

by Amit Shekhar · 10 September 2026

Vectorless RAG

Vectorless RAG, a way of answering questions from our own documents without converting those documents into numbers and without using any vector database. We will also see how the normal RAG works, why the vector part creates problems, how a Vectorless RAG system reads a document the way a human reads a book, how the tree structure and the search happen step by step, what the advantages and disadvantages are, and when to use which one.

3,704 words#ai#system-design4 recall cards

Vectorless RAG
Read on Outcome School ↗then come back to lock it in
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What three components make up the RAG acronym?

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What this article covers

  1. What is an LLM
  2. What is RAG
  3. How the normal Vector RAG works
  4. Problems with Vector RAG
  5. What is Vectorless RAG
  6. How Vectorless RAG works
  7. An example of Vectorless RAG
  8. Other Vectorless approaches
  9. Advantages of Vectorless RAG
  10. Disadvantages of Vectorless RAG
  11. Vector RAG vs Vectorless RAG
  12. When to use which one

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