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ragflow/docs/references/supported_models.mdx
miguelmanlyx d82e502a71 Add AI Badgr as OpenAI-compatible chat model provider (#12018) 
## What problem does this PR solve?

Adds AI Badgr as an optional LLM provider in RAGFlow. Users can use AI
Badgr for chat completions and embeddings via its OpenAI-compatible API.

**Background:**
- AI Badgr provides OpenAI-compatible endpoints (`/v1/chat/completions`,
`/v1/embeddings`, `/v1/models`)
- Previously, RAGFlow didn't support AI Badgr
- This PR adds support following the existing provider pattern (e.g.,
CometAPI, DeerAPI)

**Implementation details:**
- Added AI Badgr to the provider registry and configuration
- Supports chat completions (via LiteLLMBase) and embeddings (via
AIBadgrEmbed)
- Uses standard API key authentication
- Base URL: `https://aibadgr.com/api/v1`
- Environment variables: `AIBADGR_API_KEY`, `AIBADGR_BASE_URL`
(optional)

## Type of change

- [x] New Feature (non-breaking change which adds functionality)

This is a new feature that adds support for a new provider without
changing existing functionality.

---------

Co-authored-by: michaelmanley <55236695+michaelbrinkworth@users.noreply.github.com>
2025-12-19 17:45:20 +08:00

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---
sidebar_position: 1
slug: /supported_models
---
# Supported models
import APITable from '@site/src/components/APITable';
A complete list of models supported by RAGFlow, which will continue to expand.
```mdx-code-block
<APITable>
```
| Provider | Chat | Embedding | Rerank | Img2txt | Speech2txt | TTS |
| --------------------- | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ |
| Anthropic | :heavy_check_mark: | | | | | |
| Azure-OpenAI | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: | |
| BAAI | | :heavy_check_mark: | :heavy_check_mark: | | | |
| BaiChuan | :heavy_check_mark: | :heavy_check_mark: | | | | |
| BaiduYiyan | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| Bedrock | :heavy_check_mark: | :heavy_check_mark: | | | | |
| Cohere | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| DeepSeek | :heavy_check_mark: | | | | | |
| FastEmbed | | :heavy_check_mark: | | | | |
| Fish Audio | | | | | | :heavy_check_mark: |
| Gemini | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | |
| Google Cloud | :heavy_check_mark: | | | | | |
| GPUStack | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: |
| Groq | :heavy_check_mark: | | | | | |
| HuggingFace | :heavy_check_mark: | :heavy_check_mark: | | | | |
| Jina | | :heavy_check_mark: | :heavy_check_mark: | | | |
| LeptonAI | :heavy_check_mark: | | | | | |
| LocalAI | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | |
| LM-Studio | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | |
| MiniMax | :heavy_check_mark: | | | | | |
| Mistral | :heavy_check_mark: | :heavy_check_mark: | | | | |
| ModelScope | :heavy_check_mark: | | | | | |
| Moonshot | :heavy_check_mark: | | | :heavy_check_mark: | | |
| Novita AI | :heavy_check_mark: | :heavy_check_mark: | | | | |
| NVIDIA | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| Ollama | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | |
| OpenAI | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| OpenAI-API-Compatible | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| OpenRouter | :heavy_check_mark: | | | :heavy_check_mark: | | |
| PerfXCloud | :heavy_check_mark: | :heavy_check_mark: | | | | |
| Replicate | :heavy_check_mark: | :heavy_check_mark: | | | | |
| PPIO | :heavy_check_mark: | | | | | |
| SILICONFLOW | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| StepFun | :heavy_check_mark: | | | | | |
| Tencent Hunyuan | :heavy_check_mark: | | | | | |
| Tencent Cloud | | | | | :heavy_check_mark: | |
| TogetherAI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| Tongyi-Qianwen | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| Upstage | :heavy_check_mark: | :heavy_check_mark: | | | | |
| VLLM | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| VolcEngine | :heavy_check_mark: | | | | | |
| Voyage AI | | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| Xinference | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
| XunFei Spark | :heavy_check_mark: | | | | | :heavy_check_mark: |
| xAI | :heavy_check_mark: | | | :heavy_check_mark: | | |
| Youdao | | :heavy_check_mark: | :heavy_check_mark: | | | |
| ZHIPU-AI | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | |
| 01.AI | :heavy_check_mark: | | | | | |
| DeepInfra | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: |
| 302.AI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| CometAPI | :heavy_check_mark: | :heavy_check_mark: | | | | |
| DeerAPI | :heavy_check_mark: | :heavy_check_mark: | | :heavy_check_mark: | | :heavy_check_mark: |
| Jiekou.AI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | | |
```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.
:::
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