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Jerry Liu introduces ExtractBench and highlights the 'agentic plus' extractor in LlamaParse for handling massive volumes of fields in long documents, with benchmark results available on ExtractBench.
FinCacheServe is a system for dependency-consistent answer reuse in RAG serving over mutable enterprise documents, using document versions, evidence fingerprints, and tool fingerprints to invalidate caches. Evaluations show it skips over 53% of LLM calls with zero stale outputs, reducing GPU cost compared to versioned semantic caching.
Jerry Liu's team is presenting ParseBench, a comprehensive document understanding benchmark for VLMs, at CVPR 2026. The benchmark includes 2,000 pages of real-world enterprise documents with evaluation metrics for tables, charts, and visual grounding.
At AI Engineer Singapore, LlamaIndex presented a 90-minute workshop on building agentic workflows to extract information from enterprise PDFs; slides will be shared soon.