#agentic-parsing

2 posts

ai deep-dive Document Parsing in Practice Sep 3, 2026

Agentic Parsing: Letting Agents Decide How to Parse Documents

Traditional document parsing runs a fixed pipeline regardless of input, but contracts, financial reports, and technical manuals each need different strategies. Agentic Parsing lets LLM agents observe a document and dynamically choose tools — AgenticOCR parses only the regions that matter (70%+ visual token savings), and ParseBench shows even the best method scores only 84.9% across 2,000 enterprise pages. No silver bullet.

#agentic-parsing #document-parsing #ocr #rag #multi-agent #vision-language-model

ai deep-dive May 24, 2026

Auto-Embedding on File Upload Is a Bad Default: A Survey of Adaptive / Agentic RAG and Agentic Parsing

Making 'chunk and embed every uploaded file automatically' the default behavior means making a decision for the LLM that it could have made itself. From Self-RAG (2310.11511) and Adaptive-RAG (2403.14403) to AgenticOCR (2602.24134), the academic trajectory is pushing three layers of decision-making -- whether to retrieve, whether to parse, and how to chunk -- from the ingestion pipeline back to the agent at conversation time.

#rag #agentic-rag #adaptive-rag #tool-use #llm-agent #agentic-parsing #document-parsing