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Ryan Orban

Ryan Orban

Subject
2 entries

Chunking

Bookmarks

  1. Contextually Splitting Documents — Neum AI

    Neum AI introduces context-aware document splitting that improves RAG retrieval quality on structured documents like SEC filings and contracts — by splitting along semantic boundaries rather than fixed character counts. A practical improvement to the chunking step most RAG tutorials treat as an afterthought.

  2. Optimal Chunk Size for Large Document Summarization

    Vectify AI introduces a method to automatically determine the optimal chunk size for large document summarization with LLMs — rather than fixed-size chunking, the approach finds the chunk granularity that maximizes summary quality for a given document type.

All bookmarks