diff --git a/README.md b/README.md index 06537fb..18ed949 100644 --- a/README.md +++ b/README.md @@ -27,19 +27,20 @@ --- -#### 🚨 New Releases: -- πŸ“– [**PageIndex Chat**](https://chat.pageindex.ai): The first human-like document analyst agent, designed for professional long documents. -- πŸ”Œ [**PageIndex MCP**](https://pageindex.ai/mcp): Bring PageIndex into Claude, Cursor, or any MCP-enabled agent. Chat with long PDFs in a reasoning-based, human-like way. +### πŸ“’ Recent Updates -#### πŸ“’ Recent Updates - -**Articles:** -* ⭐ [**The PageIndex Overview**](https://pageindex.ai/blog/pageindex-intro): Introduces the PageIndex framework β€” an *agentic, in-context* **tree index** that enables LLMs to perform **reasoning-based, human-like retrieval** over long documents, without vector DB or chunking. -* [Do We Still Need OCR?](https://pageindex.ai/blog/do-we-need-ocr): Explores how vision-based, reasoning-native RAG challenges the traditional OCR pipeline, and why the future of document AI might be *vectorless* and *vision-based*. +**πŸš€ New Releases:** +- [**PageIndex Chat**](https://chat.pageindex.ai): The first human-like document analyst agent, designed for professional long documents. +- [**PageIndex MCP**](https://pageindex.ai/mcp): Bring PageIndex into Claude, Cursor, or any MCP-enabled agent. Chat with long PDFs in a reasoning-based, human-like way. **πŸ§ͺ Cookbooks:** * [**Vectorless RAG notebook**](https://github.com/VectifyAI/PageIndex/blob/main/cookbook/pageindex_RAG_simple.ipynb): A minimal, hands-on example of reasoning-based RAG using **PageIndex** β€” no vectors, no chunking, and human-like retrieval. * [Vision-based Vectorless RAG notebook](https://github.com/VectifyAI/PageIndex/blob/main/cookbook/vision_RAG_pageindex.ipynb): Experience OCR-free document understanding through PageIndex’s visual retrieval workflow that retrieves and reasons directly over PDF page images. + +**πŸ“œ Articles:** +* ⭐ [**The PageIndex Overview**](https://pageindex.ai/blog/pageindex-intro): Introduces the PageIndex framework β€” an *agentic, in-context* **tree index** that enables LLMs to perform **reasoning-based, human-like retrieval** over long documents, without vector DB or chunking. +* [Do We Still Need OCR?](https://pageindex.ai/blog/do-we-need-ocr): Explores how vision-based, reasoning-native RAG challenges the traditional OCR pipeline, and why the future of document AI might be *vectorless* and *vision-based*. + # πŸ“‘ Introduction to PageIndex