HtmlRAG: Enhancing RAG Systems with Richer Semantic and Structural Information through HTML

" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-10-at-12.04.25 AM-300x246.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-10-at-12.04.25 AM-1024x840.png" tabindex="0" role="button"> " data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-10-at-12.04.25 AM-300x246.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-10-at-12.04.25 AM-1024x840.png" tabindex="0" role="button">Retrieval-augmented generation (RAG) has been shown to improve knowledge capabilities and reduce the hallucination problem of LLMs. The Web is a major source of external knowledge used in RAG and many commercial systems such as ChatGPT. However, current RAG implementations face a fundamental challenge in their knowledge-processing approach. The conventional method of converting HTML documents […]

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