Researchers from China have published a paper proposing the use of HTML format to tackle hallucination problems in AI search engines.
The paper discusses techniques like the two-stage pruning algorithm to effectively preserve HTML structure and retain key information.
The conventional RAG process of extracting plain text from HTML often leads to the loss of valuable structural and semantic information.
Implementing HTML in RAG systems allows for more efficient and precise knowledge integration without sacrificing semantic depth or contextual richness.