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Supported models

docs/guides/models/supported_models.mdx

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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>
ProviderLLMImage2TextSpeech2textTTSEmbeddingRerankOCR
Anthropic:heavy_check_mark:
Astraflow:heavy_check_mark::heavy_check_mark:
Astraflow-CN:heavy_check_mark::heavy_check_mark:
Avian:heavy_check_mark:
Azure-OpenAI:heavy_check_mark::heavy_check_mark::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:
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::heavy_check_mark:
Groq:heavy_check_mark:
HuggingFace:heavy_check_mark::heavy_check_mark:
Jina:heavy_check_mark::heavy_check_mark:
LocalAI:heavy_check_mark::heavy_check_mark::heavy_check_mark:
LongCat:heavy_check_mark:
LM-Studio:heavy_check_mark::heavy_check_mark::heavy_check_mark:
MiniMax:heavy_check_mark:
MinerU:heavy_check_mark:
Mistral:heavy_check_mark::heavy_check_mark:
ModelScope:heavy_check_mark:
Moonshot:heavy_check_mark::heavy_check_mark:
NovitaAI: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:
Perplexity: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:
TokenPony: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:
ZHIPU-AI:heavy_check_mark::heavy_check_mark::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 and may not be the most current. For the latest supported model list, please refer to the Python file. :::