Semantic Highlight Bilingual Model What is Semantic Highlight? Traditional search highlighting works by matching keywords. When you search for "iPhone performance" on an e commerce site, only the words "iPhone" and "performance" get highlighted in the results. But what if the product description says "Powered by A15 Bionic chip, scores over 1 million in benchmarks, smooth performance with no lag"? This clearly answers the performance question, yet nothing gets highlighted because it doesn't contain the exact word "performance". Semantic Highlight solves this problem by understanding meaning, not just matching words. It highlights text segments that are semantically relevant to your query, even if they don't contain the exact keywords. This is crucial in RAG (Retrieval Augmented Generation) scenarios where users need to quickly identify relevant information in long retrieved documents. For more technical details, check out our blog here: https://huggingface.co/blog/zilliz/zilliz semantic highlight model Why a Lightweight Model? Highlighting happens on every search query it needs to be fast and cost effective. Large language models would be too slow and expensive for this real time t…
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