Changyong Um
Changyong Um
cc: @EnricoMi, @sfdye, @adamtheturtle, anyone? Could you please check this PR? Thank you!
@EnricoMi Could you check this PR again? Thank you!
@EnricoMi Could you check this PR? Thank you!
@EnricoMi Thanks. I have updated it. 😀
@vkehfdl1 umm... This is my current configuration, and I do not include the passage augmenter in any of my stages.  ```yaml vectordb: - name: autorag_test db_type: milvus embedding_model: openai...
@vkehfdl1 Hello, The issue has not been resolved yet. I’ve written some temporary code to work around the issue, but it’s not ideal for general use. 1. Delete all trials...
@vkehfdl1 Thanks for yout checking I encountered an error when I changed `vectordb: autorag_test` to `vectordb: milvus`. I thought the value of vectordb should correspond to the `name` of an...
@vkehfdl1 I've thought about the potential cause of the issue. The error occurs when the `doc_id` of a corpus does not exist in the retrieval result. However, the qa query...
This PR may not fully align with your intentions in autorag. I tried to consider as many cases as possible, but there may be aspects you have been concerned about...
I found the way to set all_files. To use it, we should set `all_files` in `start_parsing()` to `True` ```python parser.start_parsing(parse_config, all_files=True) ``` what is correct way to set all files...