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LLM-driven extraction of unstructured data, built for API deployments and ETL pipeline workflows. Automates document parsing, PDF extraction, and intelligent data processing with LLM-powered intelligence.

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.

A full-stack AI infrastructure tool for data, model, and pipeline orchestration. Streamlines building versatile AI-first applications with a visual pipeline editor for end-to-end workflows from data ingestion to model inference.

An open-source JupyterLab extension that connects AI agents to computational notebooks, enabling code generation, error explanation, and document Q&A.