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ExtractBench is a new benchmark for schema-guided enterprise document extraction, evaluating value accuracy, record completeness, grounding, and cost across 4,869 pages of enterprise documents. The authors find that commercial VLMs struggle with long documents while coding agents are more accurate but costly, and LlamaExtract AgenticPlus leads on all metrics.
A thread discussing the importance of schema discipline in agent memory, introducing Zep AI's open-source Graphiti library for building temporal knowledge graphs with constrained entity and relationship types.