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5 changes: 2 additions & 3 deletions README.md
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Instead of chunking documents into vectors, Vectorless preserves the document's tree structure and uses a **hybrid algorithm + LLM approach** to navigate it — like how a human reads a table of contents:

- **Algorithm** handles "how to walk" — BM25 scoring, tree traversal (fast, deterministic)
- **Pilot (LLM)** handles "where to go" — semantic understanding, ambiguity resolution
- **Pilot (LLM)** handles "where to go"
- **Algorithm** handles "how to walk"

**Analogy:** Traditional RAG is like searching every word in a book. Vectorless is like reading the table of contents, then going to the right chapter.

## How It Works

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