Real-time RAG

For years, search engines like google and yahoo and databases relied on essential keyword matching, often resulting in fragmented and context-lacking results. The introduction of generative AI and the emergence of Retrieval-Augmented Generation (RAG)...

A recent study from the US has found that the real-world performance of popular Retrieval Augmented Generation (RAG) research systems corresponding to Perplexity and Bing Copilot falls far wanting each the marketing hype and...

While large language models (LLMs) like GPT-3 and Llama are impressive of their capabilities, they often need more information and more access to domain-specific data. Retrieval-augmented generation (RAG) solves these challenges by combining LLMs...