Multilingual Processing Program
LocalPdfChatRAG supports 18 language interoperability through the following architecture:
- automatic detection: Adopt the fasttext language recognition module to determine the document language (accuracy rate 98.7%)
- dynamic routing: automatic switching of paraphrase-multilingual-mpnet-base-v2 models according to language
- mixed output: Answers can be generated with the original terminology untranslated (e.g., legal texts).
Configuration method::
- Install additional dependencies: pip install fasttext langdetect
- Modify the language_policy parameter in config.yaml
- For CJK languages such as CJK, you need to set the tokenizer parameter additionally.
typical application: A multinational pharmaceutical company used the solution to process English-Japanese-German clinical reports, and the Q&A accuracy was improved by 62% over the Google Translate+ search solution.
This answer comes from the articleLocalPdfChatRAG: Intelligent Chat Tool to Support Local Multi-Source PDF Document Q&AThe
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