Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.
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Updated
Oct 22, 2025 - Python
Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.
Structured data extraction from research literature
Convert any document format into LLM-ready data format (markdown) with advanced intelligent document processing capabilities powered by pre-trained models.
A new package that leverages language models to transform structured YAML data into well-formatted resume PDFs. Users provide their resume details in YAML format, and the package extracts key informat
This new package facilitates extracting structured insights from text-based content related to domain-specific issues, such as analyzing DNS blocking reports. Given unstructured text describing networ
A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche
A new package designed to facilitate structured extraction of key information from scientific or factual text inputs, enabling precise summaries, data extraction, or categorization based on user promp
A new package is designed to analyze financial news headlines and extract key structured information such as company names, financial targets, timeframes, and goal updates from text inputs. It simplif
A new package that analyzes technical arguments and extracts structured summaries from text discussions about infrastructure-as-code practices. It takes user-provided text (such as forum posts, articl
🔍 Extract insights from DNS blocking reports and network filtering incidents to quickly identify key information and enhance analysis efficiency.
📝 Extract clear, concise summaries from news headlines and brief texts for faster insights in research and reporting on complex issues.
📝 Simplify resume creation by turning YAML data into a polished PDF, effortlessly crafting professional documents without design skills.
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