AI Briefing#data-extraction
The latest AI and developer news about #data-extraction, with the original source and a short summary.
The latest AI and developer news about #data-extraction, with the original source and a short summary.
The new functions run on PostgreSQL 18 via the google_ml_integration extension (v1.6.1+) and use smart batching to reduce latency and token costs.
The working draft defines 140 rules for handling tables, forms, and diagrams to resolve inconsistencies between different parsers.
Keenable SELECT, an MCP server-based AI agent that integrates web search and LLM-based extraction into SQL queries, has been released.
It is a Python library that automatically learns web scraping rules based on example data provided by the user.
Unstract, an open-source platform that extracts structured JSON data from unstructured documents using natural language prompts, has been released.
LangChain has released a hosted service that automatically extracts structured data from unstructured documents.
This introduces a technique that uses the PDF's 'marked-content' property to simultaneously provide visual information for humans and markdown structure for LLMs.
Mozilla has launched Tabstack, an API that extracts web data into structured JSON and automates browsers.
The Rust-based open-source crawling engine kreuzcrawl has released bindings for 11 languages along with an MCP server.
datasette-extract 0.3a0 introduces model configuration management via datasette-llm.
Google's **Gemini 3.1 Flash Lite** has been added to **AI Gateway**, enabling its use for high-performance data extraction and agentic tasks.
The performance of GPT-4, Claude, and open-source LLMs was compared and analyzed when extracting structured data from chat logs.