### What problem does this PR solve?
#1467
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Zhedong Cen <cenzhedong2@126.com>
#1432#1447
This PR adds support for the GROQ LLM (Large Language Model).
Groq is an AI solutions company delivering ultra-low latency inference
with the first-ever LPU™ Inference Engine. The Groq API enables
developers to integrate state-of-the-art LLMs, such as Llama-2 and
llama3-70b-8192, into low latency applications with the request limits
specified below. Learn more at [groq.com](https://groq.com/).
Supported Models
| ID | Requests per Minute | Requests per Day | Tokens per Minute |
|----------------------|---------------------|------------------|-------------------|
| gemma-7b-it | 30 | 14,400 | 15,000 |
| gemma2-9b-it | 30 | 14,400 | 15,000 |
| llama3-70b-8192 | 30 | 14,400 | 6,000 |
| llama3-8b-8192 | 30 | 14,400 | 30,000 |
| mixtral-8x7b-32768 | 30 | 14,400 | 5,000 |
---------
Co-authored-by: paresh0628 <paresh.tuvoc@gmail.com>
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### 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
---------
Co-authored-by: yonghui li <yonghui.li@bondex.com.cn>
### 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?
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>
- 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)
### 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>
### 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._
Issue link:#[[Link the issue
here](https://github.com/infiniflow/ragflow/issues/242)]
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### 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._
Issue link:#[[Link the issue
here](https://github.com/infiniflow/ragflow/issues/226)]
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
