Retrieve news articles based on a query
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Open LLM(CohereForAI/c4ai-command-r7b-12-2024) and RAG
RAG - retrieve is an AI-powered tool designed to retrieve relevant news articles based on user queries. It falls under the category of Text Analysis and is built to assist users in quickly finding pertinent information from news sources. This tool is particularly useful for researchers, journalists, and anyone seeking timely and accurate news content.
• Search functionality: Retrieve news articles based on specific queries. • Filtering options: Narrow down results by date, source, or relevance. • Multi-source support: Access articles from a variety of news outlets. • AI-powered relevance ranking: Get the most relevant results based on your query.
How up-to-date are the news articles retrieved by RAG - retrieve?
RAG - retrieve typically provides access to the most recent news articles, but the timeliness may depend on the sources and their update frequency.
Can I retrieve articles from multiple news sources at once?
Yes, RAG - retrieve supports multi-source searches, allowing you to retrieve articles from various news outlets simultaneously.
Is there an option to sort the retrieved articles by date or relevance?
Yes, the tool offers filtering and sorting options, enabling you to organize the results by date, relevance, or other criteria for easier navigation.