mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-08-13 04:13:35 +08:00
8bd5768ebc
## What This pull request adds **MWS GPT Model Hub** as a built-in model provider in RAGFlow. The integration allows users to configure an MWS project endpoint and token, discover the models available to that project, and use supported MWS models for chat completion, embeddings, and reranking. Co-authored-by: ilarionov_n <ilarionov_n@promis.ru>
106 lines
5.9 KiB
Plaintext
106 lines
5.9 KiB
Plaintext
---
|
|
sidebar_position: 3
|
|
title: Model Providers
|
|
sidebar_label: Model Providers
|
|
slug: /supported_models
|
|
sidebar_custom_props: {
|
|
categoryIcon: LucideBox
|
|
}
|
|
---
|
|
# Model Providers
|
|
|
|
import APITable from '@site/src/components/APITable';
|
|
|
|
A complete list of model providers supported by RAGFlow, which will continue to expand.
|
|
|
|
```mdx-code-block
|
|
<APITable>
|
|
```
|
|
|
|
| Provider | URL |
|
|
| --------------------- | ----------------------------------------------- |
|
|
| aimlapi.com | `https://aimlapi.com` |
|
|
| Anthropic | `https://www.anthropic.com` |
|
|
| Astraflow | `https://astraflow.ucloud-global.com/en-us` |
|
|
| Astraflow-CN | `https://astraflow.ucloud.cn/` |
|
|
| Avian | `https://www.avian.io` |
|
|
| Azure-OpenAI | `https://azure.microsoft.com/en-us/products/ai-services/openai-service` |
|
|
| BaiChuan | `https://www.baichuan-ai.com` |
|
|
| BaiduYiyan | `https://yiyan.baidu.com` |
|
|
| Bedrock | `https://aws.amazon.com/bedrock/` |
|
|
| Cohere | `https://cohere.com` |
|
|
| DeepSeek | `https://www.deepseek.com` |
|
|
| Fish Audio | `https://fish.audio` |
|
|
| FunASR | `https://github.com/modelscope/FunASR` |
|
|
| FuturMix | `https://futurmix.ai` |
|
|
| Gemini | `https://gemini.google.com` |
|
|
| Google Cloud | `https://cloud.google.com` |
|
|
| GPUStack | `https://gpustack.ai` |
|
|
| Groq | `https://groq.com` |
|
|
| GreenPT | `https://greenpt.ai` |
|
|
| HuggingFace | `https://huggingface.co` |
|
|
| Jina | `https://jina.ai` |
|
|
| LocalAI | `https://localai.io` |
|
|
| LongCat | `https://longcat.chat` |
|
|
| LM-Studio | `https://lmstudio.ai` |
|
|
| MiniMax | `https://www.minimaxi.com` |
|
|
| MinerU | `https://mineru.net/` |
|
|
| Mistral | `https://mistral.ai` |
|
|
| ModelScope | `https://www.modelscope.cn` |
|
|
| Moonshot | `https://www.moonshot.cn` |
|
|
| MWS | `https://mws.ru/docs/cloud-platform/gpt.html` |
|
|
| NovitaAI | `https://novita.ai` |
|
|
| NVIDIA | `https://www.nvidia.com` |
|
|
| Ollama | `https://ollama.com` |
|
|
| OpenAI | `https://openai.com` |
|
|
| OpenAI-API-Compatible | N/A |
|
|
| OpenRouter | `https://openrouter.ai` |
|
|
| Perplexity | `https://www.perplexity.ai` |
|
|
| Replicate | `https://replicate.com` |
|
|
| PPIO | `https://ppio.com` |
|
|
| SILICONFLOW | `https://siliconflow.cn` |
|
|
| StepFun | `https://www.stepfun.com` |
|
|
| Tencent Hunyuan | `https://hunyuan.tencent.com` |
|
|
| Tencent Cloud | `https://cloud.tencent.com` |
|
|
| TogetherAI | `https://www.together.ai` |
|
|
| TokenPony | `https://tokenpony.cn` |
|
|
| Tongyi-Qianwen | `https://tongyi.aliyun.com` |
|
|
| Upstage | `https://www.upstage.ai` |
|
|
| VLLM | `https://vllm.ai` |
|
|
| VolcEngine | `https://www.volcengine.com` |
|
|
| Voyage AI | `https://www.voyageai.com` |
|
|
| Xinference | `https://github.com/xorbitsai/inference` |
|
|
| XunFei Spark | `https://xinghuo.xfyun.cn` |
|
|
| xAI | `https://x.ai` |
|
|
| ZHIPU-AI | `https://www.zhipuai.cn` |
|
|
| DeepInfra | `https://deepinfra.com` |
|
|
| 302.AI | `https://302.ai` |
|
|
| CometAPI | `https://cometapi.com` |
|
|
| DeerAPI | `https://deerapi.com` |
|
|
| Jiekou.AI | `https://jiekou.ai` |
|
|
|
|
```mdx-code-block
|
|
</APITable>
|
|
```
|
|
|
|
:::danger IMPORTANT
|
|
If your model is not listed here but has APIs compatible with those of OpenAI, click **OpenAI-API-Compatible** on the **Model providers** page to configure your model.
|
|
:::
|
|
|
|
## Example: AI Badgr (OpenAI-Compatible)
|
|
|
|
You can use **AI Badgr** with RAGFlow via the existing OpenAI-API-Compatible provider.
|
|
|
|
To configure AI Badgr:
|
|
|
|
- **Provider**: `OpenAI-API-Compatible`
|
|
- **Base URL**: `https://aibadgr.com/api/v1`
|
|
- **API Key**: your AI Badgr API key (from the AI Badgr dashboard)
|
|
- **Model**: any AI Badgr chat or embedding model ID, as exposed by AI Badgr's OpenAI-compatible APIs
|
|
|
|
AI Badgr implements OpenAI-compatible endpoints for `/v1/chat/completions`, `/v1/embeddings`, and `/v1/models`, so no additional code changes in RAGFlow are required.
|
|
|
|
:::note
|
|
The list of supported models is extracted from [this source](https://github.com/infiniflow/ragflow/blob/main/rag/llm/__init__.py) and may not be the most current. For the latest supported model list, please refer to the Python file.
|
|
:::
|