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README.md

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+### We will have a major update to our PageIndex cloud service on June 23, 2025. Stay in touch!
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 # 📄 PageIndex
 
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 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.
 
 🧠 **Reasoning-based RAG** offers a better alternative: enabling LLMs to *think* and *reason* their way to the most relevant document sections. Inspired by AlphaGo, we use *tree search* to perform structured document retrieval. 
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 Built by <a href="https://vectify.ai" target="_blank">Vectify AI</a>.
 
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 # **⭐ What is PageIndex**
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 - [x]  [Detailed examples of document selection, node selection, and RAG pipelines](https://pageindex.vectify.ai/examples/rag)
 - [x]  [Integration of reasoning-based retrieval and semantic-based retrieval](https://pageindex.vectify.ai/examples/hybrid-rag)
+- [ ]  Release of PageIndex Platform with Retrieval (23rd June 2025)
 - [ ]  Efficient tree search methods introduction
 - [ ]  Technical report on the design of PageIndex