Retrieve news articles based on a query
Predict NCM codes from product descriptions
Calculate patentability score from application
Extract... key phrases from text
Explore and Learn ML basics
Classify patent abstracts into subsectors
Explore and interact with HuggingFace LLM APIs using Swagger UI
Classify Turkish text into predefined categories
Open LLM(CohereForAI/c4ai-command-r7b-12-2024) and RAG
Rerank documents based on a query
Track, rank and evaluate open LLMs and chatbots
Detect harms and risks with Granite Guardian 3.1 8B
Analyze similarity of patent claims and responses
RAG - retrieve is a text analysis tool designed to help users find and retrieve news articles based on specific queries. It enables efficient searching across a vast database of news sources, providing relevant results quickly and accurately. This tool is ideal for researchers, journalists, and anyone needing to access up-to-date or archived news content.
• Advanced Search: Search across multiple news sources with precise query matching.
• Filtering Options: Narrow down results by date, source, or relevance to refine your search.
• Real-Time Updates: Access the latest news articles as they are published.
• Customizable Alerts: Set alerts for specific topics or keywords to stay informed.
• User-Friendly Interface: Intuitive design makes it easy to search and navigate results.
• Focus on News Topics: Specialized in retrieving news-related content for accurate and relevant results.
What sources does RAG - retrieve use?
RAG - retrieve aggregates content from a diverse range of credible news sources, including major outlets and independent publications.
Can I customize the search results?
Yes, you can filter results by date, source, or relevance to tailor your search outcomes.
How accurate is RAG - retrieve?
The tool uses advanced algorithms to ensure high accuracy in retrieving relevant articles, but results may vary based on query specificity and source availability.