mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-07-23 00:46:42 +08:00
### What problem does this PR solve?
This PR implement implement OCR for Baidu and Mistral, implement
PaddleOCR provider and implement ASR for CoHere
**Verified examples from the CLI:**
```
RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
# PaddleOCR
RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke
Nando Metzger
Photogra
Anton Obukhov
Rodrigo Caye Daudt
netry and Remote Sensing,
Shengyu Huang
Konrad Schindler
ETH Zürich
<div style="text-align: c... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
# Cohere
RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}'
+-----------------------------------------------------------------------------------------------------------------------+
| text |
+-----------------------------------------------------------------------------------------------------------------------+
| The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. |
+-----------------------------------------------------------------------------------------------------------------------+
```
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
100 lines
3.2 KiB
Go
100 lines
3.2 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package models
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import (
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"strings"
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)
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// ModelFactory creates ModelDriver instances based on provider name
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type ModelFactory struct {
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}
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// NewModelFactory creates a new ModelFactory
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func NewModelFactory() *ModelFactory {
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return &ModelFactory{}
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}
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// CreateModelDriver creates a ModelDriver for the given provider and model
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func (f *ModelFactory) CreateModelDriver(providerName string, baseURL map[string]string, urlSuffix URLSuffix) (ModelDriver, error) {
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providerLower := strings.ToLower(providerName)
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switch providerLower {
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case "zhipu-ai":
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return NewZhipuAIModel(baseURL, urlSuffix), nil
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case "deepseek":
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return NewDeepSeekModel(baseURL, urlSuffix), nil
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case "moonshot":
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return NewMoonshotModel(baseURL, urlSuffix), nil
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case "minimax":
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return NewMinimaxModel(baseURL, urlSuffix), nil
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case "gitee":
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return NewGiteeModel(baseURL, urlSuffix), nil
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case "siliconflow":
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return NewSiliconflowModel(baseURL, urlSuffix), nil
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case "google":
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return NewGoogleModel(baseURL, urlSuffix), nil
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case "aliyun":
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return NewAliyunModel(baseURL, urlSuffix), nil
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case "volcengine":
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return NewVolcEngine(baseURL, urlSuffix), nil
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case "vllm":
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return NewVllmModel(baseURL, urlSuffix), nil
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case "xai":
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return NewXAIModel(baseURL, urlSuffix), nil
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case "lmstudio":
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return NewLmStudioModel(baseURL, urlSuffix), nil
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case "ollama":
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return NewOllamaModel(baseURL, urlSuffix), nil
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case "openai":
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return NewOpenAIModel(baseURL, urlSuffix), nil
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case "nvidia":
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return NewNvidiaModel(baseURL, urlSuffix), nil
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case "openrouter":
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return NewOpenRouterModel(baseURL, urlSuffix), nil
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case "huggingface":
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return NewHuggingFaceModel(baseURL, urlSuffix), nil
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case "baidu":
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return NewBaiduModel(baseURL, urlSuffix), nil
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case "cohere":
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return NewCoHereModel(baseURL, urlSuffix), nil
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case "fishaudio":
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return NewFishAudioModel(baseURL, urlSuffix), nil
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case "mistral":
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return NewMistralModel(baseURL, urlSuffix), nil
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case "upstage":
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return NewUpstageModel(baseURL, urlSuffix), nil
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case "stepfun":
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return NewStepFunModel(baseURL, urlSuffix), nil
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case "baichuan":
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return NewBaichuanModel(baseURL, urlSuffix), nil
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case "jina":
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return NewJinaModel(baseURL, urlSuffix), nil
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case "localai":
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return NewLocalAIModel(baseURL, urlSuffix), nil
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case "longcat":
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return NewLongCatModel(baseURL, urlSuffix), nil
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case "novita":
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return NewNovitaModel(baseURL, urlSuffix), nil
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case "voyage":
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return NewVoyageModel(baseURL, urlSuffix), nil
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case "paddleocr":
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return NewPaddleOCRModel(baseURL, urlSuffix), nil
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default:
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return NewDummyModel(baseURL, urlSuffix), nil
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}
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}
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