Scenario Challenge
Multinational enterprises suffer from the co-existence of multi-language documents and distortion of machine translation, which leads to inefficient knowledge sharing. deep Searcher's cross-language search capability can build a unified knowledge portal.
prescription
- Multilingual Embedded Configuration::
- Enabling multilingual embedded models such as LaBSE
- Set language detection parameters in set_provider_config - Intelligent Document Alignment::
- Automatic recognition of documents of the same origin in different languages
- Creating Cross-Language Vector Indexes - Q&A Localization Output::
- Automatic conversion of answers according to the language of the user's system
- Comparison of the original text of the terminology of reservations
Implementation process
- Collection of institutional documentation in various languages
- Creating Multilingual Collections in Milvus
- pass (a bill or inspection etc)
query("比较中美财务流程差异")test (machinery etc)
Effectiveness evaluation
Results of implementation in an automotive company:
- Reduction in processing time for transnational work orders 65%
- Translation costs down 40%
- 3X increase in knowledge reuse
This answer comes from the articleDeep Searcher: Efficient Retrieval of Enterprise Private Documents and Intelligent Q&AThe
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