## Summary
- Add language-aware Snowball stemmer to `RagTokenizer` supporting 16
languages (Dutch, German, French, Spanish, etc.)
- Thread the KB `language` parameter through the full tokenization
pipeline (14 parser modules + task executor)
- Add Dutch to the frontend language lists and cross-language form
## Problem
RAGFlow uses the English Porter stemmer + WordNet lemmatizer for **all**
BM25 tokenization, regardless of the knowledge base language setting.
This produces incorrect stems for non-English text. For example:
| Dutch word | Dutch stemmer | English Porter |
|---|---|---|
| documenten | document | documenten (unchanged!) |
| gebruikers | gebruiker | gebruik (over-stemmed) |
| instellingen | instell | instellingen (unchanged!) |
This degrades BM25 recall for any non-English knowledge base.
## Solution
NLTK already ships Snowball stemmers for 16 languages. This PR:
1. **`rag/nlp/rag_tokenizer.py`**: Overrides `tokenize()` with
`set_language()` and `_normalize_token()` that selects the correct NLTK
Snowball stemmer. Falls back to Porter for unmapped languages (Chinese,
Japanese, Korean, etc. — these use character-based tokenization anyway).
2. **`rag/nlp/__init__.py`** + **14 `rag/app/*.py` parsers** +
**`rag/svr/task_executor.py`**: Threads the `language` parameter through
`tokenize()`, `tokenize_chunks()`, `tokenize_table()`, and all callers.
3. **Frontend**: Adds Dutch (`Nederlands`) to `LanguageList`,
`LanguageMap`, `LanguageAbbreviationMap`, `LanguageTranslationMap`,
cross-language form field, and `en.ts` locale.
## Backward Compatibility
- Default language is `"English"`, preserving existing behavior for all
current users
- Languages without a Snowball stemmer mapping fall back to Porter (no
change)
- No new dependencies — NLTK Snowball is already bundled
## Summary
This PR fixes two issues discovered during testing of the PaddleOCR
async API refactoring:
### 1. PP-OCRv6 returns `ocrResults` instead of `layoutParsingResults`
Models like PP-OCRv6 are pure text recognition models that return
results in `ocrResults.prunedResult.rec_texts` format rather than the
`layoutParsingResults.prunedResult.parsing_res_list` format used by
layout-aware models (PaddleOCR-VL series).
**Changes:**
- `deepdoc/parser/paddleocr_parser.py`: Extract `ocrResults` alongside
`layoutParsingResults` in `_send_request()`, add fallback logic in
`_transfer_to_sections()` and `parse_image()`
- `internal/entity/models/paddleocr.go`: Add `ocrResults` struct and
fallback extraction in Go OCR handler
### 2. Image parsing not integrated into picture chunker
The `parse_image()` method existed in PaddleOCRParser but was never
called from `rag/app/picture.py` (the module that handles image file
uploads). Users configuring PaddleOCR as their layout recognizer would
still get local deepdoc OCR for images.
**Changes:**
- `rag/app/picture.py`: When `layout_recognize` is set to PaddleOCR, use
`PaddleOCROcrModel.parse_image()` instead of local OCR. Falls back
gracefully to local OCR on failure.
## Testing
Verified end-to-end in Docker:
- PaddleOCR-VL-1.6 PDF parsing: ✅ (10 text blocks with bbox)
- PaddleOCR-VL-1.6 image parsing: ✅ (219 chars)
- PP-OCRv6 PDF parsing with ocrResults fallback: ✅ (10 text blocks)
- PP-OCRv6 image parsing with ocrResults fallback: ✅ (136 chars)
## Related PRs
- #15967 (merged) - PaddleOCR async Job API refactoring + new models
- #16086 (merged) - PaddleOCR image parsing support
### What problem does this PR solve?
Add id for table tenant_llm and apply in LLMBundle.
### Type of change
- [x] Refactoring
---------
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
Co-authored-by: Liu An <asiro@qq.com>
### What problem does this PR solve?
During figure enhancement, some cropped figure images are extremely
small. Sending these to the Image2Text/VLM provider fails with a 400
invalid_parameter_error because the image width/height must
be >10px. This aborts the enhancement step. This PR adds a minimal size
guard to skip tiny crops and continue processing.
<img width="1084" height="494" alt="image"
src="https://github.com/user-attachments/assets/ad074270-94e6-4571-91c8-37df85212639"
/>
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Migrate CV model chat to Async. #11750
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
### What problem does this PR solve?
- rename rmSpace to remove_redundant_spaces
- move clean_markdown_block to common module
- add unit tests for remove_redundant_spaces and clean_markdown_block
### Type of change
- [x] Refactoring
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Add VLM-boosted PDF parser if VLM is set.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add vision LLM PDF parser
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### What problem does this PR solve?
**Passing cv_mdl.describe() is not an RGB converted image**
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Edit chunk shall update instead of insert it. Close#3679
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Related source file is in Windows/DOS format, they are format to Unix
format.
### Type of change
- [x] Refactoring
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
