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@ -143,7 +143,7 @@ You can generate the PageIndex tree structure with this open-source repo; or use
# ⚙️ Package Usage
> **Note:** This package uses standard PDF parsing. For use cases with complex PDFs, our [Cloud Service](https://pageindex.ai/developer) (via MCP and API) offers enhanced OCR, tree building, and retrieval.
> **Note:** This package uses standard PDF parsing. For use cases with complex PDFs, our [cloud service](https://pageindex.ai/developer) (via MCP and API) offers enhanced OCR, tree building, and retrieval.
You can follow these steps to generate a PageIndex tree from a PDF document.
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## Agentic Vectorless RAG: An Example
For a simple, end-to-end _**agentic vectorless RAG**_ example using PageIndex with OpenAI Agents SDK, see [`examples/agentic_vectorless_rag_demo.py`](examples/agentic_vectorless_rag_demo.py).
For a simple, end-to-end _**agentic vectorless RAG**_ example using self-hosted PageIndex (with OpenAI Agents SDK), see [`examples/agentic_vectorless_rag_demo.py`](examples/agentic_vectorless_rag_demo.py).
```bash
# Install optional dependency