### What problem does this PR solve?
I implemented infinity, a fast vector embeddings engine.
### Type of change
- [x] Performance Improvement
- [X] Other (please describe):
fix jina adding issure and term weight refinement (#974)
### 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?
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
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Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### Description
Following up on https://github.com/infiniflow/ragflow/pull/275, this PR
adds support for FastEmbed model configurations.
The options are not exhaustive. You can find the full list
[here](https://qdrant.github.io/fastembed/examples/Supported_Models/).
P.S. I ran into OOM issues when building the image.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: KevinHuSh <kevinhu.sh@gmail.com>
KevinHuSh
Michael Feil
yungongzi
Fakai Zhao
Anush