🚀 Thanks for the super-exponential interest in our open-sourced PageIndex repo (github.com/VectifyAI/Page…).
More exciting things are coming next week!
Tired of the poor accuracy of vector-based RAG on long documents? Time to say goodbye to "Vibe Retrieval"👋
🚀 We are excited to announce PageIndex — the next-generation, reasoning-based RAG without any Vector DBs.
#RAG#LLM#retrieval
Meet the first long-context OCR — PageIndex OCR.
It can convert PDFs to Markdown with the document structure preserved.
📄 Upload a PDF
⚡ Get Markdown output (global structure preserved)
🌳 Navigate the hierarchical structure of the document
🆓 Try it now with 200 pages free:…
🚀 Huge thanks to @fahdmirza for the in-depth PageIndex tutorial!
📽️ youtube.com/watch?v=MMvQr3…
🧠 PageIndex is our open-source tool that turns long docs into semantic trees for reasoning-based RAG.
📂 github.com/VectifyAI/Page…
☁️ PageIndex RAG platform launching this month!
@AndrewYNg In our open sourced project: github.com/VectifyAI/Page…, we transform any documents into tree and conduct Monte Carlo tree search to do rag, achieved much higher accuracy than vector based rag!
💡 Many users asked how to integrate PageIndex (reasoning-based RAG) with vector-based RAG. We published a blog post showcasing a hybrid retrieval pipeline that combines the speed of vector-based retrieval with the accuracy of reasoning-based retrieval.
👉 pageindex.vectify.ai/examples/hybri…
🧠 Built for reasoning-based RAG, PageIndex turns long documents into searchable tree structures 🌳 that AI agents can reason through — like a smart "table of contents" 📚
🚫 No vectors, no chunking
✅ Just relevance
📂 GitHub: github.com/VectifyAI/Page…
☁️ Cloud:…
🧠 Built for reasoning-based RAG, PageIndex turns long documents into searchable tree structures 🌳 that AI agents can reason through — like a smart "table of contents" 📚
🚫 No vectors, no chunking
✅ Just relevance
📂 GitHub: github.com/VectifyAI/Page…
☁️ Cloud:…
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