### What problem does this PR solve?
- Added TCADP Parser configuration fields to PDF, PPT, and spreadsheet
parsing forms
- Implemented support for setting table result type (Markdown/HTML) and
Markdown image response type (URL/Text)
- Updated TCADP Parser to handle return format settings from
configuration or parameters
- Enhanced frontend to dynamically show TCADP options based on selected
parsing method
- Modified backend to pass format parameters when calling TCADP API
- Optimized form default value logic for TCADP configuration items
- Updated multilingual resource files for new configuration options
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix: bbox not included in mineru output #11315
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: manual parser with mineru #11320
Fix: missing parameter in mineru #11334
Fix: add outlines parameter for pdf parsers
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
change:
“After each dialogue turn, the agent component’s output is not reset.”
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Now markdown table extractor supports <table ...>. #10966
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Add support for MinerU http-client/server method.
To use MinerU with vLLM server:
1. Set up a vLLM server running MinerU:
```bash
mineru-vllm-server --port 30000
```
2. Configure the following environment variables:
- `MINERU_EXECUTABLE=/ragflow/uv_tools/.venv/bin/mineru` (or the path to
your MinerU executable)
- `MINERU_BACKEND="vlm-http-client"`
- `MINERU_SERVER_URL="http://your-vllm-server-ip:30000"`
3. Follow the standard MinerU setup steps as described above.
With this configuration, RAGFlow will connect to your vLLM server to
perform document parsing, which can significantly improve parsing
performance for complex documents while reducing the resource
requirements on your RAGFlow server.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
---------
Co-authored-by: writinwaters <cai.keith@gmail.com>
### What problem does this PR solve?
issue:
[#10890](https://github.com/infiniflow/ragflow/issues/10890)
change：
enhance delimiters in markdown parser
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
support local mineru api in docker instance. like no gpu in wsl on
windows, but has mineru api with gpu support.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
issue:
#10825
change:
remove unexpected keyword argument in table_structure_recognizer logging
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: parsing excel with chartsheet #10815
Fix: Clamp begin to a minimum of 0 to prevent negative indexing #10804
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
MinerU supports VLM-Transfomers backend.
Set `MINERU_BACKEND="pipeline"` to choose the backend. (Options:
pipeline | vlm-transformers, default is pipeline)
### 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?
This PR adds a new TCADP (Tencent Cloud Advanced Document Processing)
parser to RAGFlow, enabling users to leverage Tencent Cloud's document
parsing capabilities for more accurate and structured document
processing. The implementation includes:
New TCADP Parser: A complete implementation of Tencent Cloud's document
parsing API without SDK dependency
Configuration Support: Added configuration options in service_conf.yaml
for Tencent Cloud API credentials
Frontend Integration: Updated UI components to support the new TCADP
parser option
Error Handling: Comprehensive error handling and retry mechanisms for
API calls
Result Processing: Support for both SSE streaming and JSON response
formats from Tencent Cloud API
### 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?
Introduced gpu profile in .env
Added Dockerfile_tei
fix datrie
Removed LIGHTEN flag
### Type of change
- [x] Documentation Update
- [x] Refactoring
### What problem does this PR solve?
issue:
#3945
change:
add Docling parser
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
issue:
[#7472](https://github.com/infiniflow/ragflow/issues/7472)
change:
Vision Model Image Enhancement in Manual chunker
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add MinerU parser. #3945, #8092.
Set `MINERU_EXECUTABLE` to the MinerU executable path, defaults to
`mineru`.
Set `MINERU_DELETE_OUTPUT=0` to preserve MinerU's output, default is 1,
which deletes temporary output.
Set `MINERU_OUTPUT_DIR` to choose the MinerU output directory (uses the
temporary directory if unset).
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix: Agent.reset() argument wrong #10463 & Unable to converse with agent
through Python API. #10415
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
- Running DeepDoc OCR on large PDFs inside the GPU docker-compose setup
would intermittently fail with
[ONNXRuntimeError] ... p2o.Clip.6 ... Available memory of 0 is smaller
than requested bytes ...
- Root cause: load_model() in deepdoc/vision/ocr.py treated
device_id=None as-is.
torch.cuda.device_count() > device_id then raised a TypeError, the
helper returned False, and ONNXRuntime quietly fell back to
CPUExecutionProvider with
the hard-coded 512 MB limit, which then triggered the allocator failure.
- Environment where this reproduces: Windows 11, AMD 5900x, 64 GB RAM,
RTX 3090 (24 GB), docker-compose-gpu.yml from upstream, default DeepDoc
+ GraphRAG
parser settings, ingesting heavy PDF such as 《内科学》（第10版）.pdf (~180 MB).
Fixes:
- Normalize device_id to 0 when it is None before calling any CUDA APIs,
so the GPU path is considered available.
- Allow configuring the CUDA provider’s memory cap via
OCR_GPU_MEM_LIMIT_MB (default 2048 MB) and expose
OCR_ARENA_EXTEND_STRATEGY; the calculated byte
limit is logged to confirm the effective settings.
After the change, ragflow_server.log shows for example
load_model ... uses GPU (device 0, gpu_mem_limit=21474836480,
arena_strategy=kNextPowerOfTwo) and the same document finishes OCR
without allocator errors.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Refactor import modules.
### Type of change
- [x] Refactoring
---------
Signed-off-by: jinhai <haijin.chn@gmail.com>
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Fix broken imports
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Signed-off-by: jinhai <haijin.chn@gmail.com>
### What problem does this PR solve?
Handle zero and nan in calculate.
#10125
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Dataflow support audio. And fix giteeAI's sequence2text model.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
issue:
[Bug]: Agent component (HTTP Request) "'>' not supported between
instances of 'int' and 'NoneType'"
[#10096](https://github.com/infiniflow/ragflow/issues/10096)
Change:
When the Invoke class instantiates HtmlParser without providing the
chunk_token_num parameter, the value defaults to None, leading to a
comparison error with block_token_count.
This change sets the default chunk_token_num to 512 to prevent such
errors.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: BadwomanCraZY <511528396@qq.com>
### What problem does this PR solve?
Add support for the Ascend table structure recognizer.
Use the environment variable `TABLE_STRUCTURE_RECOGNIZER_TYPE=ascend` to
enable the Ascend table structure recognizer.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Supports Ascend layout recognizer.
Use the environment variable `LAYOUT_RECOGNIZER_TYPE=ascend` to enable
the Ascend layout recognizer, and `ASCEND_LAYOUT_RECOGNIZER_DEVICE_ID=n`
(for example, n=0) to specify the Ascend device ID.
Ensure that you have installed the [ais
tools](https://gitee.com/ascend/tools/tree/master/ais-bench_workload/tool/ais_bench)
properly.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
judge not empty before delete session.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
terminate onnx inference session and release memory manually.
Issue #5050
Issue #9992
Issue #8805
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Dataflow supports Spreadsheet and Word processor document
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
