### What problem does this PR solve?
support xinference rerank model
#1455
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
#1036
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: Zhedong Cen <cenzhedong2@126.com>
### What problem does this PR solve?
#308
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: KevinHuSh <kevinhu.sh@gmail.com>
### What problem does this PR solve?
feat: Integrates LLM Azure OpenAI #716
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### Other
It's just the back-end code, the front-end needs to provide the Azure
OpenAI model addition form.
#### Required parameters
- base_url
- api_key
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Co-authored-by: yonghui li <yonghui.li@bondex.com.cn>
### What problem does this PR solve?
Fix ragflow may encounter an OOM (Out Of Memory) when there are a lot of
conversations.
#1288
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: zhuhao <zhuhao@linklogis.com>
### What problem does this PR solve?
- Fix a bug for VolcEngine
- After testing, the current VolcEngine configuration also supports the
Doubao series
_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] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: 海贼宅 <stu_xyx@163.com>
### What problem does this PR solve?
I implemented infinity, a fast vector embeddings engine.
### Type of change
- [x] Performance Improvement
- [X] Other (please describe):
### What problem does this PR solve?
issue #991
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Co-authored-by: KevinHuSh <kevinhu.sh@gmail.com>
### What problem does this PR solve?
Added support for MiniMax LLM
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: cecilia-uu <konghui1996@163.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] Refactoring
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
#724#162
### 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?
feat: add rerank models to the project #724#162
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
- Added support for Baichuan LLM
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: 海贼宅 <stu_xyx@163.com>
### What problem does this PR solve?
Bug fixes for the VolcEngine
- Bug fix for front-end configuration code of VolcEngine
- Bug fix for tokens counting logic of VolcEngine
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Co-authored-by: 海贼宅 <stu_xyx@163.com>
- The main idea is to assemble **ak**, **sk**, and **ep_id** into a
dictionary and store it in the database **api_key** field
- I don’t know much about the front-end, so I learned from Ollama, which
may be redundant.
### Configuration method
- model name
- Format requirements: {"VolcEngine model name":"endpoint_id"}
- For example: {"Skylark-pro-32K":"ep-xxxxxxxxx"}
- Volcano ACCESS_KEY
- Format requirements: VOLC_ACCESSKEY of the volcano engine
corresponding to the model
- Volcano SECRET_KEY
- Format requirements: VOLC_SECRETKEY of the volcano engine
corresponding to the model
### 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?
Optimize task broker and executor for reduce memory usage and deployment
complexity.
### Type of change
- [x] Performance Improvement
- [x] Refactoring
### Change Log
- Enhance redis utils for message queue(use stream)
- Modify task broker logic via message queue (1.get parse event from
message queue 2.use ThreadPoolExecutor async executor )
- Modify the table column name of document and task (process_duation ->
process_duration maybe just a spelling mistake)
- Reformat some code style(just what i see)
- Add requirement_dev.txt for developer
- Add redis container on docker compose
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
