From 46244aed33f47e7d407928f18cbce23aeab323df Mon Sep 17 00:00:00 2001 From: Ray Date: Tue, 5 May 2026 23:55:21 +0800 Subject: [PATCH] update README --- README.md | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index a85fbd0..d7f35ce 100644 --- a/README.md +++ b/README.md @@ -30,7 +30,8 @@

๐Ÿ“ข Updates

 -- ๐Ÿ”ฅ [**Agentic Vectorless RAG**](https://github.com/VectifyAI/PageIndex/blob/main/examples/agentic_vectorless_rag_demo.py) โ€” A simple *agentic, vectorless RAG* [example](https://github.com/VectifyAI/PageIndex/blob/main/examples/agentic_vectorless_rag_demo.py) with self-hosted PageIndex, using OpenAI Agents SDK. +- ๐Ÿ”ฅ [**Agentic Vectorless RAG**](https://github.com/VectifyAI/PageIndex/blob/main/examples/agentic_vectorless_rag_demo.py) with PageIndex โ€” A simple *agentic, vectorless RAG* [example](https://github.com/VectifyAI/PageIndex/blob/main/examples/agentic_vectorless_rag_demo.py) with self-hosted PageIndex, using OpenAI Agents SDK. +- [**Scale PageIndex to Millions of Documents**](https://pageindex.ai/blog/pageindex-filesystem) โ€” The *PageIndex File System* is a file-level tree layer that lets PageIndex reason over an entire corpus, not just a single document, enabling massive-scale document search. - [PageIndex Chat](https://chat.pageindex.ai) โ€” Human-like document analysis agent [platform](https://chat.pageindex.ai) for professional long documents. Also available via [MCP](https://pageindex.ai/developer) or [API](https://pageindex.ai/developer). - [PageIndex Framework](https://pageindex.ai/blog/pageindex-intro) โ€” Deep dive into PageIndex: an *agentic, in-context tree index* that enables LLMs to perform *reasoning-based, human-like retrieval* over long documents. @@ -75,8 +76,8 @@ To learn more, please see a detailed introduction to the [PageIndex framework](h The PageIndex service is available as a ChatGPT-style [chat platform](https://chat.pageindex.ai), or can be integrated via [MCP](https://pageindex.ai/developer) or [API](https://pageindex.ai/developer). ### ๐Ÿ› ๏ธ Deployment Options -- Self-host โ€” run locally with this open-source repo. -- Cloud Service โ€” try instantly with our [Chat Platform](https://chat.pageindex.ai/), or integrate via [MCP](https://pageindex.ai/developer) or [API](https://pageindex.ai/developer). +- Self-host โ€” run locally with this open-source repo (using standard PDF parsing). +- Cloud Service โ€” production-grade pipeline with enhanced OCR, tree building, and retrieval for best results. Try instantly with our [Chat Platform](https://chat.pageindex.ai/), or integrate via [MCP](https://pageindex.ai/developer) or [API](https://pageindex.ai/developer). - _Enterprise_ โ€” private or on-prem deployment. [Contact us](https://ii2abc2jejf.typeform.com/to/tK3AXl8T) or [book a demo](https://calendly.com/pageindex/meet) for more details. ### ๐Ÿงช Quick Hands-on @@ -135,12 +136,14 @@ Below is an example PageIndex tree structure. Also see more example [documents]( ... ``` -You can generate the PageIndex tree structure with this open-source repo, or use our [API](https://pageindex.ai/developer). +You can generate the PageIndex tree structure with this open-source repo; or use our [API](https://pageindex.ai/developer) for higher-quality results powered by our enhanced OCR and tree building pipeline. --- # โš™๏ธ Package Usage +> **Note:** This open-source package uses standard Python PDF parsing. For use cases with complex PDFs, our [Cloud Service](https://pageindex.ai/developer) provides significantly better results with enhanced OCR, tree building, and retrieval. Available via [MCP](https://pageindex.ai/developer) or [API](https://pageindex.ai/developer). + You can follow these steps to generate a PageIndex tree from a PDF document. ### 1. Install dependencies