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.
Extract and convert data from any document (PDFs, images, Word, PPT, URLs) into multiple formats including Markdown, JSON, and CSV.
An open-source JupyterLab extension that connects AI agents to computational notebooks, enabling code generation, error explanation, and document Q&A.
Open-source text-to-SQL and text-to-chart GenBI agent with a semantic layer. Ask your database questions in natural language and get accurate SQL, charts, and BI insights. Supports 12+ data sources and any LLM.
All-in-one AI framework for semantic search, LLM orchestration, and language model workflows with agent support, RAG, and vector database