### What problem does this PR solve?
Fixes the `AttributeError: 'bool' object has no attribute 'items'` error
when updating the `enabled` parameter of a document via the Python SDK
(Issue #11721).
Background: When calling `Document.update({"enabled": True/False})`
through the SDK, the server-side API returned a boolean `data=True` in
the response (instead of a dictionary). The SDK's `_update_from_dict`
method (in `base.py`) expects a dictionary to iterate over with
`.items()`, leading to an immediate AttributeError during response
parsing. This prevented successful synchronization of the updated
`enabled` status to the local SDK object, even if the server-side
database/update index operations succeeded.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### Additional Context (optional, for clarity)
- **Root Cause**: Server returned `data=True` (boolean) for `enabled`
parameter updates, violating the SDK's expectation of a dictionary-type
`data` field.
- **Fix Logic**:
1. Removed the separate `return get_result(data=True)` in the `enabled`
update branch to unify response flow.
2.
- **Backward Compatibility**: No breaking changes—other update scenarios
(e.g., renaming documents, modifying chunk methods) remain unaffected,
and the response format stays consistent.
Co-authored-by: shirukai <shirukai@hollysysdigital.com>
### What problem does this PR solve?
Update some docs and comments, since 'File manager' is rename to 'File'
### Type of change
- [x] Documentation Update
- [x] Refactoring
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
### What problem does this PR solve?
Feature: This PR implements a comprehensive RAG evaluation framework to
address issue #11656.
**Problem**: Developers using RAGFlow lack systematic ways to measure
RAG accuracy and quality. They cannot objectively answer:
1. Are RAG results truly accurate?
2. How should configurations be adjusted to improve quality?
3. How to maintain and improve RAG performance over time?
**Solution**: This PR adds a complete evaluation system with:
- **Dataset & test case management** - Create ground truth datasets with
questions and expected answers
- **Automated evaluation** - Run RAG pipeline on test cases and compute
metrics
- **Comprehensive metrics** - Precision, recall, F1 score, MRR, hit rate
for retrieval quality
- **Smart recommendations** - Analyze results and suggest specific
configuration improvements (e.g., "increase top_k", "enable reranking")
- **20+ REST API endpoints** - Full CRUD operations for datasets, test
cases, and evaluation runs
**Impact**: Enables developers to objectively measure RAG quality,
identify issues, and systematically improve their RAG systems through
data-driven configuration tuning.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Make RAGFlow more asynchronous 2. #11551, #11579, #11619.
### Type of change
- [x] Refactoring
- [x] Performance Improvement
### What problem does this PR solve?
Make RAGFlow more asynchronous 2. #11551, #11579, #11619.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
- [x] Performance Improvement
### What problem does this PR solve?
change:
new api /sequence2txt,
update QWenSeq2txt and ZhipuSeq2txt
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Try to make this more asynchronous. Verified in chat and agent
scenarios, reducing blocking behavior. #11551, #11579.
However, the impact of these changes still requires further
investigation to ensure everything works as expected.
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Quart framework has default RESPONSE_TIMEOUT and BODY_TIMEOUT of 60
seconds.
This causes the frontend chat to hang exactly after 60 seconds when
using
slow LLM backends (e.g., Ollama on CPU, or remote APIs with high
latency).
This fix adds configurable timeout settings via environment variables
with
sensible defaults (600 seconds = 10 minutes) to match other timeout
configurations in RAGFlow.
Fixes issues with chat timeout when:
- Using local Ollama on CPU (response time ~2 minutes)
- Using remote LLM APIs with high latency
- Processing complex RAG queries with many chunks
### Type of change
- [X] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: Grzegorz Sterniczuk <grzegorz@sternicz.uk>
### What problem does this PR solve?
When using the 'metadata_condition' for metadata filtering, if no
documents match the filtering criteria, the system will return the
search results of all documents instead of returning an empty result.
When the metadata_condition has conditions but no matching documents,
simply return an empty result.
#11572
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: Chenguang Wang <chenguangwang@deepglint.com>
### What problem does this PR solve?
_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
To solve the problem of error reporting caused by type errors when
various types of exception returns are triggered
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: coroutine object has no attribute get
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
One loop to get better performance
### Type of change
- [x] Refactoring
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
No results can be found through the API /api/v1/dify/retrieval. #11307
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
issue:
[#11319](https://github.com/infiniflow/ragflow/issues/11319)
change:
limit random sampling range in check_embedding
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
change:
update check_embedding failed info
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: create dataset return type inconsistent #11167
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Feat: extract message output to file
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
pr:
#10854
change:
update check_embedding api
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix some IDE warnings
### Type of change
- [x] Refactoring
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
issue:
[#11195](https://github.com/infiniflow/ragflow/issues/11195)
change:
support API for generating knowledge graph and raptor
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
### What problem does this PR solve?
Add the specified parent_path to the document upload api interface
(#11230)
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: virgilwong <hyhvirgil@gmail.com>
### What problem does this PR solve?
Add mechanism to check cancellation in Agent.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
#10056
### 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?
```
admin> show version;
show_version
+-----------------------+
| version |
+-----------------------+
| v0.21.0-241-gc6cf58d5 |
+-----------------------+
admin> \q
Goodbye!
```
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Currently we cannot add any models, since factory is a string, and the
return type of get_allowed_llm_factories() is List[object]
https://github.com/infiniflow/ragflow/pull/11003
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
