### 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?
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?
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?
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?
Feat: extract message output to file
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Correctly check task executor alive and display status.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### 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
