apunkt/PageIndex
1
0
Fork 0
mirror of https://github.com/VectifyAI/PageIndex.git synced 2026-04-24 23:56:21 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions 2

Update README.md

Browse source
This commit is contained in:
Ray 2025-11-02 05:00:58 +08:00 • committed by GitHub
parent e81c32b98c
commit 799d4bce52
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 5 additions and 5 deletions
Download patch file Download diff file Expand all files Collapse all files

10
README.md
View file

@ -31,7 +31,7 @@
Bring PageIndex into Claude, Cursor, and any MCP-enabled agent. Chat to long PDFs the human-like, reasoning-based way 📖
# 📄 Introduction to PageIndex
# 📄 Introduction to PageIndex
Are you frustrated with vector database retrieval accuracy for long professional documents? Traditional vector-based RAG relies on semantic *similarity* rather than true *relevance*. But **similarity ≠ relevance** — what we truly need in retrieval is **relevance**, and that requires **reasoning**. When working with professional documents that demand domain expertise and multi-step reasoning, similarity search often falls short.
@ -54,9 +54,9 @@ Compared to traditional vector-based RAG, PageIndex features:
PageIndex powers a reasoning-based RAG system that achieved [98.7% accuracy](https://github.com/VectifyAI/Mafin2.5-FinanceBench) on FinanceBench, showing state-of-the-art performance in professional document analysis (see our [blog post](https://vectify.ai/blog/Mafin2.5) for details).
### 🚀 Deployment Options
### ⚙️ Deployment Options
- 🛠️ Self-host — run locally with this open-source repo
- ☁️ **[Cloud Service](https://dash.pageindex.ai/)** — try instantly with our 🖥️ [Dashboard](https://dash.pageindex.ai/) or 🔌 [API](https://docs.pageindex.ai/quickstart), no setup required
- ☁️ **[Cloud Service](https://dash.pageindex.ai/)** — try instantly with our 🚀 [Agent](https://chat.pageindex.ai/), 🖥️ [Dashboard](https://dash.pageindex.ai/) or 🔌 [API](https://docs.pageindex.ai/quickstart), no setup required
### ⚡ Quick Hands-on
@ -102,11 +102,11 @@ Here is an example output. See more [example documents](https://github.com/Vecti
...
```
You can either generate the PageIndex tree structure with this open-source repo or try our ☁️ **[Cloud Service](https://dash.pageindex.ai/)** — instantly accessible via our 🖥️ [Dashboard](https://dash.pageindex.ai/) or 🔌 [API](https://docs.pageindex.ai/quickstart), with no setup required.
You can either generate the PageIndex tree structure with this open-source repo or try our ☁️ **[Cloud Service](https://dash.pageindex.ai/)** — instantly accessible via our 🚀 [Agent](https://chat.pageindex.ai/), 🖥️ [Dashboard](https://dash.pageindex.ai/) or 🔌 [API](https://docs.pageindex.ai/quickstart), with no setup required.
---
# 🚀 Package Usage
# Package Usage
You can follow these steps to generate a PageIndex tree from a PDF document.