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@ -13,13 +13,13 @@ Are you frustrated with vector database retrieval accuracy for long professional
**[PageIndex](https://vectify.ai/pageindex)** is a *document indexing system* that builds **search tree structures** from long documents, making them ready for *reasoning-based RAG*. It has been used to develop a RAG system that achieved 98.7% accuracy on [FinanceBench](https://vectify.ai/blog/Mafin2.5), demonstrating state-of-the-art performance in document analysis.
Try [Reasoning-based RAG with PageIndex](https://pageindex.ai). No vector DB required. Say goodbye to *"vibe retrieval"* 👋
Try [Reasoning-based RAG with PageIndex](https://pageindex.ai) — no vector DB required. Say goodbye to *"vibe retrieval"* 👋
- No *Vector DB*, No *Chunking*, No *Top-K selection*
- Higher Accuracy, Better Transparency, Human-like Retrieval
#### 🚀 Deployment Options
- 🛠️ Self-host: run it yourself from this open-source repo
- **[☁️ Cloud service](https://dash.pageindex.ai/)**: try instantly with our [🖥️ Dashboard](https://dash.pageindex.ai/) or [🔌 API](https://docs.vectify.ai/quickstart) *(no setup required)*
- **[☁️ 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)*
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