Principle: After dividing the article uploaded by the user into sentences using Python, the embedded value is obtained and stored in the Iris database. Then, the similarity between sentences is compared through Iris vector search, and finally displayed on the front-end page.
The installation steps can be viewed in the readme file.It should be noted that the BERT model used in the example has some memory requirements.If there is a long-term stuck situation during the testing process, other models such as MiniLM (which is used in the online demo) can be considered.
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