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@ -64,7 +64,7 @@ It simulates how *human experts* navigate and extract knowledge from complex doc
Compared to traditional vector-based RAG, **PageIndex** features:
- **No Vector DB**: Uses document structure and LLM reasoning for retrieval, instead of vector similarity search.
- **No Chunking**: Documents are organized into natural sections, not artificial chunks.
- **Better Explainability and Traceability**: Retrieval is based on reasoning, traceable and interpretable, with page and section references. No more opaque, approximate vector search (“vibe retrieval”).
- **Better Traceability & Explainability**: Retrieval is reasoning-driven and grounded in explicit page and section references, making every result traceable and interpretable — no more “vibe retrieval” with opaque, approximate vector search.
- **Context-Aware Retrieval**: Retrieval depends on your full context (e.g., conversation history and domain knowledge), and easily incorporates new context.
- **Human-like Retrieval**: Simulates how human experts navigate and extract knowledge from complex documents.