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    The AI startup VectifyAI has released PageIndex, an open-source Python tool that indexes documents for retrieval-augmented generation without using vector embeddings. Instead of converting text into vectors, it builds a structured, reasoning-based document index that lets large language models navigate documents directly. Developers are taking notice of the unusual approach, which challenges the standard vector-database architecture used in most RAG systems.

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