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A Python library by Google for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization, designed for data annotation and knowledge extraction workflows.

Transforms complex documents like PDFs into LLM-ready markdown/JSON for Agentic workflows, supporting layout analysis, formula recognition, and table extraction.

An agentic LLM-powered data processing and ETL system. Enables complex data transformations using natural language-defined pipelines, turning unstructured data into structured, analyzable outputs with LLM intelligence.

A collection of projects showcasing RAG, agents, workflows, and other AI use cases with practical examples and tutorials.