#document intelligence
Document Intelligence: 10 AI articles covering document intelligence news, analysis, and research
Articles
LandingAI Launches Agentic Document Extraction Gen2 with DPT-3⭐7
LandingAI's Agentic Document Extraction Gen2 rebuilds document intelligence with DPT-3 Pro and Verity, using hierarchical tree modeling, character-based pricing...
Tables in PDFs for RAG: Don’t Flatten the Grid⭐9
Stop losing critical data in PDFs: Learn how structured table extraction—not flattening—boosts RAG retrieval accuracy.
A RAG That Says 'Not in This Document' Has to Show Four Kinds of⭐9
A four-part RAG system must prove a "not found" answer with evidence from retrieval, generation, grounding, and verification to avoid misleading users.
RAG Is Not the Whole Toolkit: The NLP Techniques Real Problems⭐8
RAG is powerful but not the only answer; six cheaper NLP methods—exact match, spelling fixes, keyword search, and more—solve most problems faster and with expla...
One Document Type, a Million Files: Structured Extraction into⭐9
Learn how to structure five thousand identical contracts into SQL table RAG queries with repeatable extraction, smart indexing, and cost arithmetic.
10 Positions for Enterprise RAG That Mainstream Tutorials Get Wrong⭐8
Enterprise RAG systems fail when tutorials oversimplify. This guide reveals 10 expert positions on structure-first retrieval, rerankers, and enterprise-scale ch...
Building an End-to-End Document Intelligence Pipeline with⭐9
Build an end-to-end document intelligence pipeline with deepDoctection: layout detection, table parsing, OCR, reading order, and structured export for RAG syste...
Retrieve One Row from a Table, Not the Whole Table: Row-Level⭐10
Retrieving one table row—not the whole table—as the chunk for RAG answers precise questions like policy caps without distracting the model with unrelated rows.
RAG Workflow and Loop Engineering: The Dispatcher That Decides⭐9
A dispatcher pattern for RAG pipelines that decides when to loop and stop, coordinating retrieval, aggregation, and synthesis for enterprise reliability.
Before Full Agentic RAG: Know How You Decide, and the Parsing⭐9
Before full agentic RAG, control parsing choices with an explicit dispatcher: plan, execute, and log each method for transparent, validated enterprise retrieval...