feat(model): Support siliconflow rerank models

[fangyinc]

Description

Additions to #2157

How Has This Been Tested?

1. Using siliconflow rerank models in DB-GPT webserver

# .env
RERANK_MODEL=rerank_proxy_silicon_flow
rerank_proxy_silicon_flow_proxy_server_url=https://api.siliconflow.cn/v1/rerank
rerank_proxy_silicon_flow_proxy_api_key={your-siliconflow-api-key}
rerank_proxy_silicon_flow_proxy_backend=BAAI/bge-reranker-v2-m3

2. Using SiliconFlowRerankEmbeddings

from dbgpt.rag.embedding import SiliconFlowRerankEmbeddings

embedding = SiliconFlowRerankEmbeddings(api_key='{your_api_key}')
res = embedding.predict("Apple", candidates=["苹果", "香蕉", "水果", "蔬菜"])
print(res)

You will see the following output:

[0.9953725, 0.00046734812, 0.0020992735, 1.7502925e-05]

Snapshots:

Include snapshots for easier review.

Checklist:

• My code follows the style guidelines of this project
• I have already rebased the commits and make the commit message conform to the project standard.
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• Any dependent changes have been merged and published in downstream modules

[Aries-ckt]

r+

[csunny]

Cool, r+