### 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?
Incorrect async chat streamly output. #11677.
Disable beartype for #11666.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### 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?
- Update sync data source to handle metadata properly
### 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?
New options for rag server scripts to create the super admin user when
start server.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Zhichang Yu <yuzhichang@gmail.com>
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
issue:
#11293
change:
RagFlow not starting with Postgres DB
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Resolve the issue of missing thinking labels when viewing pre-existing
conversations
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### 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?
Fixes an issue where default models which used the same factory but
different base URLs would all be initialised with the default chat
model's base URL and would ignore e.g. the embedding model's base URL
config.
For example, with the following service config, the embedding and
reranker models would end up using the base URL for the default chat
model (i.e. `llm1.example.com`):
```yaml
ragflow:
service_conf:
user_default_llm:
factory: OpenAI-API-Compatible
api_key: not-used
default_models:
chat_model:
name: llm1
base_url: https://llm1.example.com/v1
embedding_model:
name: llm2
base_url: https://llm2.example.com/v1
rerank_model:
name: llm3
base_url: https://llm3.example.com/v1/rerank
llm_factories:
factory_llm_infos:
- name: OpenAI-API-Compatible
logo: ""
tags: "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION"
status: "1"
llm:
- llm_name: llm1
base_url: 'https://llm1.example.com/v1'
api_key: not-used
tags: "LLM,CHAT,IMAGE2TEXT"
max_tokens: 100000
model_type: chat
is_tools: false
- llm_name: llm2
base_url: https://llm2.example.com/v1
api_key: not-used
tags: "TEXT EMBEDDING"
max_tokens: 10000
model_type: embedding
- llm_name: llm3
base_url: https://llm3.example.com/v1/rerank
api_key: not-used
tags: "RERANK,1k"
max_tokens: 10000
model_type: rerank
```
### Type of change
- [X] Bug Fix (non-breaking change which fixes an issue)
### 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?
GraphRAG and RAPTOR tasks do not affect document status.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### 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?
Fix: Optimize Prompts and Regex for use_sql() #11127
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### 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?
1. Move EMBEDDING_CFG to common.globals
2. Fix error imports
3. Move signal handles to common/signal_utils.py
### Type of change
- [x] Refactoring
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
