Files
ragflow/internal/entity/models/cohere.go

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Go: implement provider: CoHere and FishAudio (#14790) ### What problem does this PR solve? This PR completes the Cohere provider integration (upgrading to the new Cohere V2 API) and enhances the Fish Audio provider in RAGFlow. **The following functionalities are now supported:** **Cohere:** - [x] Chat / Think Chat / Stream Chat / Stream Think Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance **Fish Audio:** - [x] Model listing (`ListModels`) - [x] Balance (`Balance`) ----- **Verified examples from the CLI:** ```plaintext # Cohere RAGFlow(user)> think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: Okay, the user wrote "jumperwho". Let me try to figure out what they might be asking. First, I'll check if it's a misspelling. "Jumper" ...... Hmm. Since the query is unclear, the best approach is to ask the user to provide more context or correct any possible typos. Answer: It seems there might be a typo or missing context in your query "jumperwho." Could you clarify what you're referring to? For example: - Are you asking about a **jumper** (a type of sweater, a person who jumps, or a component in electronics)? - Is this related to a specific context, like a movie (e.g., the 2008 film *Jumper*) or a game? - Did you mean to ask about a person ("who") associated with jumping (e.g., a parachutist)? Let me know so I can provide a helpful response! 😊 Time: 6.710331 RAGFlow(user)> stream think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: , the user mentioned "jumperwho". Let me try to figure out what they're referring to. First, I'll check if it's a misspelling. "Jumper" could be a typo for "jumper" or maybe a username. Alternatively, it might be a combination of words like "jumper who",....... the best approach is to inform the user that I don't recognize the term and ask if they can provide more context or clarify what they mean by "jumperwho". That way, I can assist them better once I have more information. Answer: seems "jumperwho" isn't a widely recognized term, proper noun, or acronym in common usage. Could you provide more context or clarify what you mean by "jumperwho"? This will help me understand your question or request better! Time: 4.513596 RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'embed-v4.0@test3@cohere' dimension 16; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | embedding | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | [-0.016643638 -0.001957038 0.0055713872 0.009027058 0.05275187 -0.024542313 -0.044006906 0.024119169 0.0014192933 0.006558722 0.0019129605 -0.021016119 -0.026516981 -0.017489925 0.021298215 0.017772019 0.04569948 0.008886009 0.012059584 -0.0014721862 0.... | 0 | | [0.018778935 -0.0063459855 -0.0006839742 0.0046623563 0.0067668925 -0.018001877 -0.03963003 0.035744734 -0.014246088 -0.0020721585 -0.006313608 0.025124922 -0.010749322 0.01217393 -0.010231283 -0.025254432 0.021498645 -0.028880708 0.019167464 -0.0058279... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank-v4.0-pro@test@cohere' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.91744334 | | 1 | 0.7458429 | | 2 | 0.68729424 | +-------+-----------------+ RAGFlow(user)> list supported models from 'cohere' 'test' +-------------------------------------+ | model_name | +-------------------------------------+ | c4ai-aya-expanse-32b | | c4ai-aya-vision-32b | | cohere-transcribe-03-2026 | | command-a-03-2025 | | command-a-reasoning-08-2025 | | command-a-translate-08-2025 | | command-a-vision-07-2025 | | command-r-08-2024 | | command-r-plus-08-2024 | | command-r7b-12-2024 | | command-r7b-arabic-02-2025 | | embed-english-light-v3.0 | | embed-english-light-v3.0-image | | embed-english-v3.0 | | embed-english-v3.0-image | | embed-multilingual-light-v3.0 | | embed-multilingual-light-v3.0-image | | embed-multilingual-v3.0 | | embed-multilingual-v3.0-image | | embed-v4.0 | +-------------------------------------+ RAGFlow(user)> check instance 'test' from 'cohere' SUCCESS # FishAudio RAGFlow(user)> list supported models from 'fishaudio' 'test' +----------------------------------------+ | model_name | +----------------------------------------+ | Valentino Narración Biblica Fer | | Super Smash Bros. 4/Ultimate Announcer | | Farid Dieck | | عصام الشوالي | | ALEX_CHIKNA | | Energetic Male | | voz de locutor k | | يي | | ELITE | | Mortal Kombat | +----------------------------------------+ RAGFlow(user)> show balance from 'fishaudio' 'test' +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | _id | created_at | credit | has_free_credit | has_phone_sha256 | updated_at | user_id | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | 82ffec12cf984d88a30ec504d7909812 | 2026-05-09T07:52:16.119000Z | 0 | | false | 2026-05-09T07:52:16.119000Z | 2578ab1126804d6eaa630552400d7ff3 | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-11 20:18:38 +08:00
package models
import (
"bufio"
"bytes"
"encoding/json"
"fmt"
"io"
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### 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
2026-05-15 18:41:43 +08:00
"mime/multipart"
Go: implement provider: CoHere and FishAudio (#14790) ### What problem does this PR solve? This PR completes the Cohere provider integration (upgrading to the new Cohere V2 API) and enhances the Fish Audio provider in RAGFlow. **The following functionalities are now supported:** **Cohere:** - [x] Chat / Think Chat / Stream Chat / Stream Think Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance **Fish Audio:** - [x] Model listing (`ListModels`) - [x] Balance (`Balance`) ----- **Verified examples from the CLI:** ```plaintext # Cohere RAGFlow(user)> think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: Okay, the user wrote "jumperwho". Let me try to figure out what they might be asking. First, I'll check if it's a misspelling. "Jumper" ...... Hmm. Since the query is unclear, the best approach is to ask the user to provide more context or correct any possible typos. Answer: It seems there might be a typo or missing context in your query "jumperwho." Could you clarify what you're referring to? For example: - Are you asking about a **jumper** (a type of sweater, a person who jumps, or a component in electronics)? - Is this related to a specific context, like a movie (e.g., the 2008 film *Jumper*) or a game? - Did you mean to ask about a person ("who") associated with jumping (e.g., a parachutist)? Let me know so I can provide a helpful response! 😊 Time: 6.710331 RAGFlow(user)> stream think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: , the user mentioned "jumperwho". Let me try to figure out what they're referring to. First, I'll check if it's a misspelling. "Jumper" could be a typo for "jumper" or maybe a username. Alternatively, it might be a combination of words like "jumper who",....... the best approach is to inform the user that I don't recognize the term and ask if they can provide more context or clarify what they mean by "jumperwho". That way, I can assist them better once I have more information. Answer: seems "jumperwho" isn't a widely recognized term, proper noun, or acronym in common usage. Could you provide more context or clarify what you mean by "jumperwho"? This will help me understand your question or request better! Time: 4.513596 RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'embed-v4.0@test3@cohere' dimension 16; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | embedding | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | [-0.016643638 -0.001957038 0.0055713872 0.009027058 0.05275187 -0.024542313 -0.044006906 0.024119169 0.0014192933 0.006558722 0.0019129605 -0.021016119 -0.026516981 -0.017489925 0.021298215 0.017772019 0.04569948 0.008886009 0.012059584 -0.0014721862 0.... | 0 | | [0.018778935 -0.0063459855 -0.0006839742 0.0046623563 0.0067668925 -0.018001877 -0.03963003 0.035744734 -0.014246088 -0.0020721585 -0.006313608 0.025124922 -0.010749322 0.01217393 -0.010231283 -0.025254432 0.021498645 -0.028880708 0.019167464 -0.0058279... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank-v4.0-pro@test@cohere' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.91744334 | | 1 | 0.7458429 | | 2 | 0.68729424 | +-------+-----------------+ RAGFlow(user)> list supported models from 'cohere' 'test' +-------------------------------------+ | model_name | +-------------------------------------+ | c4ai-aya-expanse-32b | | c4ai-aya-vision-32b | | cohere-transcribe-03-2026 | | command-a-03-2025 | | command-a-reasoning-08-2025 | | command-a-translate-08-2025 | | command-a-vision-07-2025 | | command-r-08-2024 | | command-r-plus-08-2024 | | command-r7b-12-2024 | | command-r7b-arabic-02-2025 | | embed-english-light-v3.0 | | embed-english-light-v3.0-image | | embed-english-v3.0 | | embed-english-v3.0-image | | embed-multilingual-light-v3.0 | | embed-multilingual-light-v3.0-image | | embed-multilingual-v3.0 | | embed-multilingual-v3.0-image | | embed-v4.0 | +-------------------------------------+ RAGFlow(user)> check instance 'test' from 'cohere' SUCCESS # FishAudio RAGFlow(user)> list supported models from 'fishaudio' 'test' +----------------------------------------+ | model_name | +----------------------------------------+ | Valentino Narración Biblica Fer | | Super Smash Bros. 4/Ultimate Announcer | | Farid Dieck | | عصام الشوالي | | ALEX_CHIKNA | | Energetic Male | | voz de locutor k | | يي | | ELITE | | Mortal Kombat | +----------------------------------------+ RAGFlow(user)> show balance from 'fishaudio' 'test' +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | _id | created_at | credit | has_free_credit | has_phone_sha256 | updated_at | user_id | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | 82ffec12cf984d88a30ec504d7909812 | 2026-05-09T07:52:16.119000Z | 0 | | false | 2026-05-09T07:52:16.119000Z | 2578ab1126804d6eaa630552400d7ff3 | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-11 20:18:38 +08:00
"net/http"
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### 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
2026-05-15 18:41:43 +08:00
"os"
"path/filepath"
"strconv"
Go: implement provider: CoHere and FishAudio (#14790) ### What problem does this PR solve? This PR completes the Cohere provider integration (upgrading to the new Cohere V2 API) and enhances the Fish Audio provider in RAGFlow. **The following functionalities are now supported:** **Cohere:** - [x] Chat / Think Chat / Stream Chat / Stream Think Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance **Fish Audio:** - [x] Model listing (`ListModels`) - [x] Balance (`Balance`) ----- **Verified examples from the CLI:** ```plaintext # Cohere RAGFlow(user)> think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: Okay, the user wrote "jumperwho". Let me try to figure out what they might be asking. First, I'll check if it's a misspelling. "Jumper" ...... Hmm. Since the query is unclear, the best approach is to ask the user to provide more context or correct any possible typos. Answer: It seems there might be a typo or missing context in your query "jumperwho." Could you clarify what you're referring to? For example: - Are you asking about a **jumper** (a type of sweater, a person who jumps, or a component in electronics)? - Is this related to a specific context, like a movie (e.g., the 2008 film *Jumper*) or a game? - Did you mean to ask about a person ("who") associated with jumping (e.g., a parachutist)? Let me know so I can provide a helpful response! 😊 Time: 6.710331 RAGFlow(user)> stream think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: , the user mentioned "jumperwho". Let me try to figure out what they're referring to. First, I'll check if it's a misspelling. "Jumper" could be a typo for "jumper" or maybe a username. Alternatively, it might be a combination of words like "jumper who",....... the best approach is to inform the user that I don't recognize the term and ask if they can provide more context or clarify what they mean by "jumperwho". That way, I can assist them better once I have more information. Answer: seems "jumperwho" isn't a widely recognized term, proper noun, or acronym in common usage. Could you provide more context or clarify what you mean by "jumperwho"? This will help me understand your question or request better! Time: 4.513596 RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'embed-v4.0@test3@cohere' dimension 16; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | embedding | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | [-0.016643638 -0.001957038 0.0055713872 0.009027058 0.05275187 -0.024542313 -0.044006906 0.024119169 0.0014192933 0.006558722 0.0019129605 -0.021016119 -0.026516981 -0.017489925 0.021298215 0.017772019 0.04569948 0.008886009 0.012059584 -0.0014721862 0.... | 0 | | [0.018778935 -0.0063459855 -0.0006839742 0.0046623563 0.0067668925 -0.018001877 -0.03963003 0.035744734 -0.014246088 -0.0020721585 -0.006313608 0.025124922 -0.010749322 0.01217393 -0.010231283 -0.025254432 0.021498645 -0.028880708 0.019167464 -0.0058279... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank-v4.0-pro@test@cohere' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.91744334 | | 1 | 0.7458429 | | 2 | 0.68729424 | +-------+-----------------+ RAGFlow(user)> list supported models from 'cohere' 'test' +-------------------------------------+ | model_name | +-------------------------------------+ | c4ai-aya-expanse-32b | | c4ai-aya-vision-32b | | cohere-transcribe-03-2026 | | command-a-03-2025 | | command-a-reasoning-08-2025 | | command-a-translate-08-2025 | | command-a-vision-07-2025 | | command-r-08-2024 | | command-r-plus-08-2024 | | command-r7b-12-2024 | | command-r7b-arabic-02-2025 | | embed-english-light-v3.0 | | embed-english-light-v3.0-image | | embed-english-v3.0 | | embed-english-v3.0-image | | embed-multilingual-light-v3.0 | | embed-multilingual-light-v3.0-image | | embed-multilingual-v3.0 | | embed-multilingual-v3.0-image | | embed-v4.0 | +-------------------------------------+ RAGFlow(user)> check instance 'test' from 'cohere' SUCCESS # FishAudio RAGFlow(user)> list supported models from 'fishaudio' 'test' +----------------------------------------+ | model_name | +----------------------------------------+ | Valentino Narración Biblica Fer | | Super Smash Bros. 4/Ultimate Announcer | | Farid Dieck | | عصام الشوالي | | ALEX_CHIKNA | | Energetic Male | | voz de locutor k | | يي | | ELITE | | Mortal Kombat | +----------------------------------------+ RAGFlow(user)> show balance from 'fishaudio' 'test' +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | _id | created_at | credit | has_free_credit | has_phone_sha256 | updated_at | user_id | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | 82ffec12cf984d88a30ec504d7909812 | 2026-05-09T07:52:16.119000Z | 0 | | false | 2026-05-09T07:52:16.119000Z | 2578ab1126804d6eaa630552400d7ff3 | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-11 20:18:38 +08:00
"strings"
"time"
)
type CoHereModel struct {
BaseURL map[string]string
URLSuffix URLSuffix
httpClient *http.Client
}
func (c *CoHereModel) NewInstance(baseURL map[string]string) ModelDriver {
return &CoHereModel{
BaseURL: baseURL,
URLSuffix: c.URLSuffix,
httpClient: &http.Client{
Timeout: 120 * time.Second,
},
}
}
func NewCoHereModel(baseURL map[string]string, urlSuffix URLSuffix) *CoHereModel {
return &CoHereModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
httpClient: &http.Client{
Timeout: 120 * time.Second,
},
}
}
func (c *CoHereModel) Name() string {
return "cohere"
}
func (c *CoHereModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
return nil, fmt.Errorf("api key is nil or empty")
}
if len(messages) == 0 {
return nil, fmt.Errorf("messages is empty")
}
var region = "default"
if apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
url := fmt.Sprintf("%s/%s", c.BaseURL[region], c.URLSuffix.Chat)
// Convert messages to API format
apiMessages := make([]map[string]interface{}, len(messages))
for i, msg := range messages {
apiMessages[i] = map[string]interface{}{
"role": msg.Role,
"content": msg.Content,
}
}
// Build request body
reqBody := map[string]interface{}{
"model": modelName,
"messages": apiMessages,
"stream": false,
"temperature": 0.3,
}
if chatModelConfig != nil {
if chatModelConfig.Stream != nil {
reqBody["stream"] = *chatModelConfig.Stream
}
if chatModelConfig.MaxTokens != nil {
reqBody["max_tokens"] = *chatModelConfig.MaxTokens
}
if chatModelConfig.Temperature != nil {
reqBody["temperature"] = *chatModelConfig.Temperature
}
if chatModelConfig.TopP != nil {
reqBody["top_p"] = *chatModelConfig.TopP
}
if chatModelConfig.Thinking != nil {
if *chatModelConfig.Thinking {
reqBody["thinking"] = map[string]interface{}{
"type": "enabled",
}
} else {
reqBody["thinking"] = map[string]interface{}{
"type": "disabled",
}
}
}
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("content-Type", "application/json")
req.Header.Set("accept", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("bearer %s", strings.TrimSpace(*apiConfig.ApiKey)))
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response body: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Cohere chat API error: %d %s", resp.StatusCode, string(body))
}
// Parse response
var result map[string]interface{}
if err := json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to unmarshal response: %w", err)
}
messageMap, ok := result["message"].(map[string]interface{})
if !ok {
return nil, fmt.Errorf("no message found in Cohere response: %s", string(body))
}
contentArray, ok := messageMap["content"].([]interface{})
if !ok {
return nil, fmt.Errorf("content is not an array in Cohere response")
}
var fullContent string
var reasonContent string
for _, cBlock := range contentArray {
cmap, ok := cBlock.(map[string]interface{})
if !ok {
continue
}
if blockType, ok := cmap["type"].(string); ok && blockType == "thinking" {
if thinkingText, ok := cmap["thinking"].(string); ok {
reasonContent += thinkingText
}
} else if text, ok := cmap["text"].(string); ok {
fullContent += text
}
}
chatResponse := &ChatResponse{
Answer: &fullContent,
ReasonContent: &reasonContent,
}
return chatResponse, nil
}
func (c *CoHereModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, sender func(*string, *string) error) error {
if len(messages) == 0 {
return fmt.Errorf("messages is empty")
}
var region = "default"
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
url := fmt.Sprintf("%s/%s", c.BaseURL[region], c.URLSuffix.Chat)
apiMessages := make([]map[string]interface{}, len(messages))
for i, msg := range messages {
apiMessages[i] = map[string]interface{}{
"role": msg.Role,
"content": msg.Content,
}
}
reqBody := map[string]interface{}{
"model": modelName,
"messages": apiMessages,
"stream": true,
"temperature": 1,
}
if modelConfig != nil {
if modelConfig.MaxTokens != nil {
reqBody["max_tokens"] = *modelConfig.MaxTokens
}
if modelConfig.Temperature != nil {
reqBody["temperature"] = *modelConfig.Temperature
}
if modelConfig.TopP != nil {
reqBody["p"] = *modelConfig.TopP
}
}
if modelConfig != nil {
if modelConfig.Stream != nil {
reqBody["stream"] = *modelConfig.Stream
}
if modelConfig.MaxTokens != nil {
reqBody["max_tokens"] = *modelConfig.MaxTokens
}
if modelConfig.Temperature != nil {
reqBody["temperature"] = *modelConfig.Temperature
}
if modelConfig.TopP != nil {
reqBody["top_p"] = *modelConfig.TopP
}
if modelConfig.Thinking != nil {
if *modelConfig.Thinking {
reqBody["thinking"] = map[string]interface{}{
"type": "enabled",
}
} else {
reqBody["thinking"] = map[string]interface{}{
"type": "disabled",
}
}
}
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("content-type", "application/json")
req.Header.Set("accept", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", strings.TrimSpace(*apiConfig.ApiKey)))
resp, err := c.httpClient.Do(req)
if err != nil {
return fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return fmt.Errorf("Cohere stream API error %d: %s", resp.StatusCode, string(body))
}
scanner := bufio.NewScanner(resp.Body)
for scanner.Scan() {
line := scanner.Text()
data := strings.TrimSpace(line)
if strings.HasPrefix(data, "data:") {
data = strings.TrimSpace(data[5:])
}
if data == "" || data == "[DONE]" {
continue
}
var event map[string]interface{}
if err = json.Unmarshal([]byte(data), &event); err != nil {
continue
}
eventType, ok := event["type"].(string)
if !ok {
continue
}
if eventType == "message-end" {
break
}
if eventType == "content-delta" {
delta, ok := event["delta"].(map[string]interface{})
if !ok {
continue
}
msg, ok := delta["message"].(map[string]interface{})
if !ok {
continue
}
content, ok := msg["content"].(map[string]interface{})
if !ok {
continue
}
if thinking, ok := content["thinking"].(string); ok && thinking != "" {
if err := sender(nil, &thinking); err != nil {
return err
}
}
if text, ok := content["text"].(string); ok && text != "" {
if err := sender(&text, nil); err != nil {
return err
}
}
}
}
endOfStream := "[DONE]"
if err = sender(&endOfStream, nil); err != nil {
return err
}
return scanner.Err()
}
func (c *CoHereModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
if len(texts) == 0 {
return []EmbeddingData{}, nil
}
var region = "default"
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
baseURL := strings.TrimSuffix(c.BaseURL[region], "/")
suffix := strings.TrimPrefix(c.URLSuffix.Embedding, "/")
url := fmt.Sprintf("%s/%s", baseURL, suffix)
reqBody := map[string]interface{}{
"model": *modelName,
"texts": texts,
"input_type": "search_document",
"embedding_types": []string{"float"},
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Accept", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", strings.TrimSpace(*apiConfig.ApiKey)))
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Cohere embedding API error: status %d, body: %s", resp.StatusCode, string(body))
}
var result struct {
Embeddings struct {
Float [][]float64 `json:"float"`
} `json:"embeddings"`
}
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to decode response: %w", err)
}
if len(result.Embeddings.Float) == 0 {
return nil, fmt.Errorf("Cohere embedding response contains no float data: %s", string(body))
}
var embeddings []EmbeddingData
for i, floatArr := range result.Embeddings.Float {
embeddings = append(embeddings, EmbeddingData{
Embedding: floatArr,
Index: i,
})
}
return embeddings, nil
}
func (c *CoHereModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
if len(documents) == 0 {
return &RerankResponse{}, nil
}
var region = "default"
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
baseURL := strings.TrimSuffix(c.BaseURL[region], "/")
suffix := strings.TrimPrefix(c.URLSuffix.Rerank, "/")
url := fmt.Sprintf("%s/%s", baseURL, suffix)
var topN = rerankConfig.TopN
if rerankConfig.TopN == 0 {
topN = len(documents)
}
reqBody := map[string]interface{}{
"model": *modelName,
"query": query,
"documents": documents,
"top_n": topN,
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Accept", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", strings.TrimSpace(*apiConfig.ApiKey)))
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Cohere rerank API error: status %d, body: %s", resp.StatusCode, string(body))
}
var rerankResp struct {
Results []struct {
Index int `json:"index"`
RelevanceScore float64 `json:"relevance_score"`
} `json:"results"`
}
if err := json.Unmarshal(body, &rerankResp); err != nil {
return nil, fmt.Errorf("failed to decode response: %w", err)
}
var rerankResponse RerankResponse
for _, result := range rerankResp.Results {
rerankResult := RerankResult{
Index: result.Index,
RelevanceScore: result.RelevanceScore,
}
rerankResponse.Data = append(rerankResponse.Data, rerankResult)
}
return &rerankResponse, nil
}
// TranscribeAudio transcribe audio
func (c *CoHereModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### 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
2026-05-15 18:41:43 +08:00
if file == nil || *file == "" {
return nil, fmt.Errorf("file is missing")
}
region := "default"
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
url := fmt.Sprintf("%s/%s", c.BaseURL[region], c.URLSuffix.ASR)
// multipart body
var body bytes.Buffer
writer := multipart.NewWriter(&body)
// open audio file
audioFile, err := os.Open(*file)
if err != nil {
return nil, fmt.Errorf("failed to open audio file: %w", err)
}
defer audioFile.Close()
// create multipart file field
if err = writer.WriteField("model", *modelName); err != nil {
return nil, fmt.Errorf("failed to write model name: %w", err)
}
// extra params
if asrConfig != nil && asrConfig.Params != nil {
for key, value := range asrConfig.Params {
var val string
switch v := value.(type) {
case string:
val = v
case bool:
val = strconv.FormatBool(v)
case int:
val = strconv.Itoa(v)
case int64:
val = strconv.FormatInt(v, 10)
case float32:
val = strconv.FormatFloat(float64(v), 'f', -1, 32)
case float64:
val = strconv.FormatFloat(v, 'f', -1, 64)
default:
val = fmt.Sprintf("%v", v)
}
if err = writer.WriteField(key, val); err != nil {
return nil, fmt.Errorf("failed to write field %s: %w", key, err)
}
}
}
// all form fields (model, language) must appear before the file part in the multipart body
part, err := writer.CreateFormFile("file", filepath.Base(*file))
if err != nil {
return nil, fmt.Errorf("failed to create form file: %w", err)
}
if _, err := io.Copy(part, audioFile); err != nil {
return nil, fmt.Errorf("failed to copy audio file: %w", err)
}
if err = writer.Close(); err != nil {
return nil, fmt.Errorf("failed to close writer: %w", err)
}
// build request
req, err := http.NewRequest("POST", url, &body)
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
req.Header.Set("Content-Type", writer.FormDataContentType())
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
respBody, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Cohere ASR API error: status %d, body: %s", resp.StatusCode, string(respBody))
}
var result struct {
Text string `json:"text"`
}
if err = json.Unmarshal(respBody, &result); err != nil {
return nil, fmt.Errorf("failed to unmarshal response: %w", err)
}
return &ASRResponse{Text: result.Text}, nil
}
func (z *CoHereModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", z.Name())
}
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### 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
2026-05-15 18:41:43 +08:00
// AudioSpeech convert text to audio
func (c *CoHereModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
return nil, fmt.Errorf("%s, no such method", c.Name())
}
func (z *CoHereModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", z.Name())
}
// OCRFile OCR file
Go: add file parse command (#14892) ### What problem does this PR solve? ``` RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png' +----------------------------------------------------------+ | text | +----------------------------------------------------------+ | 生活不是等待风暴过去,而是学会在雨中翩翩起舞。 ——佚名 | +----------------------------------------------------------+ RAGFlow(user)> list 'test@gitee' tasks; +---------+----------------------------------+ | status | task_id | +---------+----------------------------------+ | success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 | +---------+----------------------------------+ RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5'; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | content | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | # PDF 1: Purpose of RAGFlow RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-15 12:29:52 +08:00
func (c *CoHereModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", c.Name())
}
Go: add file parse command (#14892) ### What problem does this PR solve? ``` RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png' +----------------------------------------------------------+ | text | +----------------------------------------------------------+ | 生活不是等待风暴过去,而是学会在雨中翩翩起舞。 ——佚名 | +----------------------------------------------------------+ RAGFlow(user)> list 'test@gitee' tasks; +---------+----------------------------------+ | status | task_id | +---------+----------------------------------+ | success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 | +---------+----------------------------------+ RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5'; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | content | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | # PDF 1: Purpose of RAGFlow RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-15 12:29:52 +08:00
// ParseFile parse file
func (z *CoHereModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}
Go: implement provider: CoHere and FishAudio (#14790) ### What problem does this PR solve? This PR completes the Cohere provider integration (upgrading to the new Cohere V2 API) and enhances the Fish Audio provider in RAGFlow. **The following functionalities are now supported:** **Cohere:** - [x] Chat / Think Chat / Stream Chat / Stream Think Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance **Fish Audio:** - [x] Model listing (`ListModels`) - [x] Balance (`Balance`) ----- **Verified examples from the CLI:** ```plaintext # Cohere RAGFlow(user)> think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: Okay, the user wrote "jumperwho". Let me try to figure out what they might be asking. First, I'll check if it's a misspelling. "Jumper" ...... Hmm. Since the query is unclear, the best approach is to ask the user to provide more context or correct any possible typos. Answer: It seems there might be a typo or missing context in your query "jumperwho." Could you clarify what you're referring to? For example: - Are you asking about a **jumper** (a type of sweater, a person who jumps, or a component in electronics)? - Is this related to a specific context, like a movie (e.g., the 2008 film *Jumper*) or a game? - Did you mean to ask about a person ("who") associated with jumping (e.g., a parachutist)? Let me know so I can provide a helpful response! 😊 Time: 6.710331 RAGFlow(user)> stream think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: , the user mentioned "jumperwho". Let me try to figure out what they're referring to. First, I'll check if it's a misspelling. "Jumper" could be a typo for "jumper" or maybe a username. Alternatively, it might be a combination of words like "jumper who",....... the best approach is to inform the user that I don't recognize the term and ask if they can provide more context or clarify what they mean by "jumperwho". That way, I can assist them better once I have more information. Answer: seems "jumperwho" isn't a widely recognized term, proper noun, or acronym in common usage. Could you provide more context or clarify what you mean by "jumperwho"? This will help me understand your question or request better! Time: 4.513596 RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'embed-v4.0@test3@cohere' dimension 16; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | embedding | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | [-0.016643638 -0.001957038 0.0055713872 0.009027058 0.05275187 -0.024542313 -0.044006906 0.024119169 0.0014192933 0.006558722 0.0019129605 -0.021016119 -0.026516981 -0.017489925 0.021298215 0.017772019 0.04569948 0.008886009 0.012059584 -0.0014721862 0.... | 0 | | [0.018778935 -0.0063459855 -0.0006839742 0.0046623563 0.0067668925 -0.018001877 -0.03963003 0.035744734 -0.014246088 -0.0020721585 -0.006313608 0.025124922 -0.010749322 0.01217393 -0.010231283 -0.025254432 0.021498645 -0.028880708 0.019167464 -0.0058279... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank-v4.0-pro@test@cohere' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.91744334 | | 1 | 0.7458429 | | 2 | 0.68729424 | +-------+-----------------+ RAGFlow(user)> list supported models from 'cohere' 'test' +-------------------------------------+ | model_name | +-------------------------------------+ | c4ai-aya-expanse-32b | | c4ai-aya-vision-32b | | cohere-transcribe-03-2026 | | command-a-03-2025 | | command-a-reasoning-08-2025 | | command-a-translate-08-2025 | | command-a-vision-07-2025 | | command-r-08-2024 | | command-r-plus-08-2024 | | command-r7b-12-2024 | | command-r7b-arabic-02-2025 | | embed-english-light-v3.0 | | embed-english-light-v3.0-image | | embed-english-v3.0 | | embed-english-v3.0-image | | embed-multilingual-light-v3.0 | | embed-multilingual-light-v3.0-image | | embed-multilingual-v3.0 | | embed-multilingual-v3.0-image | | embed-v4.0 | +-------------------------------------+ RAGFlow(user)> check instance 'test' from 'cohere' SUCCESS # FishAudio RAGFlow(user)> list supported models from 'fishaudio' 'test' +----------------------------------------+ | model_name | +----------------------------------------+ | Valentino Narración Biblica Fer | | Super Smash Bros. 4/Ultimate Announcer | | Farid Dieck | | عصام الشوالي | | ALEX_CHIKNA | | Energetic Male | | voz de locutor k | | يي | | ELITE | | Mortal Kombat | +----------------------------------------+ RAGFlow(user)> show balance from 'fishaudio' 'test' +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | _id | created_at | credit | has_free_credit | has_phone_sha256 | updated_at | user_id | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | 82ffec12cf984d88a30ec504d7909812 | 2026-05-09T07:52:16.119000Z | 0 | | false | 2026-05-09T07:52:16.119000Z | 2578ab1126804d6eaa630552400d7ff3 | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-11 20:18:38 +08:00
func (c *CoHereModel) ListModels(apiConfig *APIConfig) ([]string, error) {
var region = "default"
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### 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
2026-05-15 18:41:43 +08:00
url := fmt.Sprintf("%s/%s", c.BaseURL[region], c.URLSuffix.Models)
Go: implement provider: CoHere and FishAudio (#14790) ### What problem does this PR solve? This PR completes the Cohere provider integration (upgrading to the new Cohere V2 API) and enhances the Fish Audio provider in RAGFlow. **The following functionalities are now supported:** **Cohere:** - [x] Chat / Think Chat / Stream Chat / Stream Think Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance **Fish Audio:** - [x] Model listing (`ListModels`) - [x] Balance (`Balance`) ----- **Verified examples from the CLI:** ```plaintext # Cohere RAGFlow(user)> think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: Okay, the user wrote "jumperwho". Let me try to figure out what they might be asking. First, I'll check if it's a misspelling. "Jumper" ...... Hmm. Since the query is unclear, the best approach is to ask the user to provide more context or correct any possible typos. Answer: It seems there might be a typo or missing context in your query "jumperwho." Could you clarify what you're referring to? For example: - Are you asking about a **jumper** (a type of sweater, a person who jumps, or a component in electronics)? - Is this related to a specific context, like a movie (e.g., the 2008 film *Jumper*) or a game? - Did you mean to ask about a person ("who") associated with jumping (e.g., a parachutist)? Let me know so I can provide a helpful response! 😊 Time: 6.710331 RAGFlow(user)> stream think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: , the user mentioned "jumperwho". Let me try to figure out what they're referring to. First, I'll check if it's a misspelling. "Jumper" could be a typo for "jumper" or maybe a username. Alternatively, it might be a combination of words like "jumper who",....... the best approach is to inform the user that I don't recognize the term and ask if they can provide more context or clarify what they mean by "jumperwho". That way, I can assist them better once I have more information. Answer: seems "jumperwho" isn't a widely recognized term, proper noun, or acronym in common usage. Could you provide more context or clarify what you mean by "jumperwho"? This will help me understand your question or request better! Time: 4.513596 RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'embed-v4.0@test3@cohere' dimension 16; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | embedding | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | [-0.016643638 -0.001957038 0.0055713872 0.009027058 0.05275187 -0.024542313 -0.044006906 0.024119169 0.0014192933 0.006558722 0.0019129605 -0.021016119 -0.026516981 -0.017489925 0.021298215 0.017772019 0.04569948 0.008886009 0.012059584 -0.0014721862 0.... | 0 | | [0.018778935 -0.0063459855 -0.0006839742 0.0046623563 0.0067668925 -0.018001877 -0.03963003 0.035744734 -0.014246088 -0.0020721585 -0.006313608 0.025124922 -0.010749322 0.01217393 -0.010231283 -0.025254432 0.021498645 -0.028880708 0.019167464 -0.0058279... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank-v4.0-pro@test@cohere' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.91744334 | | 1 | 0.7458429 | | 2 | 0.68729424 | +-------+-----------------+ RAGFlow(user)> list supported models from 'cohere' 'test' +-------------------------------------+ | model_name | +-------------------------------------+ | c4ai-aya-expanse-32b | | c4ai-aya-vision-32b | | cohere-transcribe-03-2026 | | command-a-03-2025 | | command-a-reasoning-08-2025 | | command-a-translate-08-2025 | | command-a-vision-07-2025 | | command-r-08-2024 | | command-r-plus-08-2024 | | command-r7b-12-2024 | | command-r7b-arabic-02-2025 | | embed-english-light-v3.0 | | embed-english-light-v3.0-image | | embed-english-v3.0 | | embed-english-v3.0-image | | embed-multilingual-light-v3.0 | | embed-multilingual-light-v3.0-image | | embed-multilingual-v3.0 | | embed-multilingual-v3.0-image | | embed-v4.0 | +-------------------------------------+ RAGFlow(user)> check instance 'test' from 'cohere' SUCCESS # FishAudio RAGFlow(user)> list supported models from 'fishaudio' 'test' +----------------------------------------+ | model_name | +----------------------------------------+ | Valentino Narración Biblica Fer | | Super Smash Bros. 4/Ultimate Announcer | | Farid Dieck | | عصام الشوالي | | ALEX_CHIKNA | | Energetic Male | | voz de locutor k | | يي | | ELITE | | Mortal Kombat | +----------------------------------------+ RAGFlow(user)> show balance from 'fishaudio' 'test' +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | _id | created_at | credit | has_free_credit | has_phone_sha256 | updated_at | user_id | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | 82ffec12cf984d88a30ec504d7909812 | 2026-05-09T07:52:16.119000Z | 0 | | false | 2026-05-09T07:52:16.119000Z | 2578ab1126804d6eaa630552400d7ff3 | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-11 20:18:38 +08:00
req, err := http.NewRequest("GET", url, nil)
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("accept", "application/json")
if apiConfig != nil && apiConfig.ApiKey != nil {
req.Header.Set("Authorization", fmt.Sprintf("bearer %s", strings.TrimSpace(*apiConfig.ApiKey)))
}
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response body: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("Cohere API request failed with status %d: %s", resp.StatusCode, string(body))
}
var result map[string]interface{}
if err := json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
models := make([]string, 0)
if modelsRaw, ok := result["models"].([]interface{}); ok {
for _, model := range modelsRaw {
if modelMap, ok := model.(map[string]interface{}); ok {
if modelName, ok := modelMap["name"].(string); ok {
models = append(models, modelName)
}
}
}
} else {
return nil, fmt.Errorf("failed to find 'models' array in response")
}
return models, nil
}
func (c *CoHereModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("%s, no such method", c.Name())
Go: implement provider: CoHere and FishAudio (#14790) ### What problem does this PR solve? This PR completes the Cohere provider integration (upgrading to the new Cohere V2 API) and enhances the Fish Audio provider in RAGFlow. **The following functionalities are now supported:** **Cohere:** - [x] Chat / Think Chat / Stream Chat / Stream Think Chat - [x] Embedding - [x] Rerank - [x] Model listing - [x] Provider connection checking - [ ] Balance **Fish Audio:** - [x] Model listing (`ListModels`) - [x] Balance (`Balance`) ----- **Verified examples from the CLI:** ```plaintext # Cohere RAGFlow(user)> think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: Okay, the user wrote "jumperwho". Let me try to figure out what they might be asking. First, I'll check if it's a misspelling. "Jumper" ...... Hmm. Since the query is unclear, the best approach is to ask the user to provide more context or correct any possible typos. Answer: It seems there might be a typo or missing context in your query "jumperwho." Could you clarify what you're referring to? For example: - Are you asking about a **jumper** (a type of sweater, a person who jumps, or a component in electronics)? - Is this related to a specific context, like a movie (e.g., the 2008 film *Jumper*) or a game? - Did you mean to ask about a person ("who") associated with jumping (e.g., a parachutist)? Let me know so I can provide a helpful response! 😊 Time: 6.710331 RAGFlow(user)> stream think chat with 'command-a-reasoning-08-2025@test3@cohere' message 'jumperwho' Thinking: , the user mentioned "jumperwho". Let me try to figure out what they're referring to. First, I'll check if it's a misspelling. "Jumper" could be a typo for "jumper" or maybe a username. Alternatively, it might be a combination of words like "jumper who",....... the best approach is to inform the user that I don't recognize the term and ask if they can provide more context or clarify what they mean by "jumperwho". That way, I can assist them better once I have more information. Answer: seems "jumperwho" isn't a widely recognized term, proper noun, or acronym in common usage. Could you provide more context or clarify what you mean by "jumperwho"? This will help me understand your question or request better! Time: 4.513596 RAGFlow(user)> embed text 'walkerwhat' 'jumperwho' with 'embed-v4.0@test3@cohere' dimension 16; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | embedding | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | [-0.016643638 -0.001957038 0.0055713872 0.009027058 0.05275187 -0.024542313 -0.044006906 0.024119169 0.0014192933 0.006558722 0.0019129605 -0.021016119 -0.026516981 -0.017489925 0.021298215 0.017772019 0.04569948 0.008886009 0.012059584 -0.0014721862 0.... | 0 | | [0.018778935 -0.0063459855 -0.0006839742 0.0046623563 0.0067668925 -0.018001877 -0.03963003 0.035744734 -0.014246088 -0.0020721585 -0.006313608 0.025124922 -0.010749322 0.01217393 -0.010231283 -0.025254432 0.021498645 -0.028880708 0.019167464 -0.0058279... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank-v4.0-pro@test@cohere' top 3; +-------+-----------------+ | index | relevance_score | +-------+-----------------+ | 0 | 0.91744334 | | 1 | 0.7458429 | | 2 | 0.68729424 | +-------+-----------------+ RAGFlow(user)> list supported models from 'cohere' 'test' +-------------------------------------+ | model_name | +-------------------------------------+ | c4ai-aya-expanse-32b | | c4ai-aya-vision-32b | | cohere-transcribe-03-2026 | | command-a-03-2025 | | command-a-reasoning-08-2025 | | command-a-translate-08-2025 | | command-a-vision-07-2025 | | command-r-08-2024 | | command-r-plus-08-2024 | | command-r7b-12-2024 | | command-r7b-arabic-02-2025 | | embed-english-light-v3.0 | | embed-english-light-v3.0-image | | embed-english-v3.0 | | embed-english-v3.0-image | | embed-multilingual-light-v3.0 | | embed-multilingual-light-v3.0-image | | embed-multilingual-v3.0 | | embed-multilingual-v3.0-image | | embed-v4.0 | +-------------------------------------+ RAGFlow(user)> check instance 'test' from 'cohere' SUCCESS # FishAudio RAGFlow(user)> list supported models from 'fishaudio' 'test' +----------------------------------------+ | model_name | +----------------------------------------+ | Valentino Narración Biblica Fer | | Super Smash Bros. 4/Ultimate Announcer | | Farid Dieck | | عصام الشوالي | | ALEX_CHIKNA | | Energetic Male | | voz de locutor k | | يي | | ELITE | | Mortal Kombat | +----------------------------------------+ RAGFlow(user)> show balance from 'fishaudio' 'test' +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | _id | created_at | credit | has_free_credit | has_phone_sha256 | updated_at | user_id | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ | 82ffec12cf984d88a30ec504d7909812 | 2026-05-09T07:52:16.119000Z | 0 | | false | 2026-05-09T07:52:16.119000Z | 2578ab1126804d6eaa630552400d7ff3 | +----------------------------------+-----------------------------+--------+-----------------+------------------+-----------------------------+----------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-11 20:18:38 +08:00
}
func (c *CoHereModel) CheckConnection(apiConfig *APIConfig) error {
_, err := c.ListModels(apiConfig)
return err
}
Go: add file parse command (#14892) ### What problem does this PR solve? ``` RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png' +----------------------------------------------------------+ | text | +----------------------------------------------------------+ | 生活不是等待风暴过去,而是学会在雨中翩翩起舞。 ——佚名 | +----------------------------------------------------------+ RAGFlow(user)> list 'test@gitee' tasks; +---------+----------------------------------+ | status | task_id | +---------+----------------------------------+ | success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 | +---------+----------------------------------+ RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5'; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | content | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | # PDF 1: Purpose of RAGFlow RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-15 12:29:52 +08:00
func (z *CoHereModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}
func (z *CoHereModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}