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#document-indexing

AutoIndex: Learning Representation Programs for Retrieval

Hugging Face Daily Papers · 6d ago Cached

AutoIndex is a framework that learns executable representation programs to transform documents before indexing, improving retrieval quality over static BM25 baselines by average 8.4% Recall@100 and 8.3% nDCG@10.

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#document-indexing

@cevenif: Traditional RAG is being directly overturned by a tool called PageIndex. It doesn't need vector databases, embeddings, chunking, or even similarity search. Instead, it builds a tree index for documents, allowing LLMs to drill down layer by layer like a human. On FinanceBench, it achieved 98.7%...

X AI KOLs Timeline · 2026-06-17 Cached

PageIndex is an open-source tool that builds a tree index of documents, eliminating the need for vector databases and embeddings, enabling efficient LLM retrieval. It achieves 98.7% accuracy on FinanceBench.

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#document-indexing

VectifyAI/PageIndex

GitHub Trending (daily) · 2026-05-08

PageIndex is a tool for creating document indices that enable vectorless, reasoning-based Retrieval-Augmented Generation (RAG).

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