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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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