Subject
2 entries
Chunking
Bookmarks
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.
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.
