Imagine your application needs to process data from a massive 1000-page contract or a 1-GB engineering report scanned into a single PDF. The upload completes, but now the parsing step grinds everything to a halt, blocking your app, slowing users down, and backing up...
Agentic Document Extraction (ADE) from LandingAI brings handwritten information into the digital world by converting essays, prescriptions, and centuries-old manuscripts into structured, searchable, and analyzable data. Designed to interpret documents the way...
Today we are sharing a powerful solution for a high-volume document extraction pipeline which lands data into Snowflake. Built specifically for Snowflake Data Engineers, the GitHub repo provides an end-to-end workflow which provides performance at scale:...
1. The Problem Ask an AI assistant to analyze a document, only to hear: “I can’t access external URLs or PDFs, please upload the file”? BTW, that dead-end isn’t random, it’s by design. LLMs run in a sandbox with no direct access to your filesystem or enterprise...
Reasoning models are good at thinking over text but documents aren’t just text. PDFs are visual artifacts—tables, columns, captions, footnotes—and flattening them erases structure and invites errors. This post shows how Model Context Protocol (MCP) lets an agent...
