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### ⚠️ Bug Fix Notice
A bug was introduced on April 18 and has now been fixed. If you pulled the repo between April 18–23, please update to the latest version:
```bash
git pull origin main
```
Thanks for your understanding 🙏
# 📄 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 what we truly need in retrieval is **relevance** — which requires **reasoning**. When working with professional documents that demand domain expertise and multi-step reasoning, similarity search often falls short.