Retrieve news articles based on a query
Provide feedback on text content
Aligns the tokens of two sentences
Humanize AI-generated text to sound like it was written by a human
List the capabilities of various AI models
Compare different tokenizers in char-level and byte-level.
Detect emotions in text sentences
Classify patent abstracts into subsectors
Find the best matching text for a query
Determine emotion from text
Compare AI models by voting on responses
Generate answers by querying text in uploaded documents
Detect harms and risks with Granite Guardian 3.1 8B
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.